{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.restricted alternative EIP models.POOLED OLS.07-15-2013.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}15 Jul 2013, 17:37:24
{txt}
{com}. 
. 
. 
. * OPEN "BASE 'PURSE STRINGS'" DATA SET
.   
. use "D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.02-01-12.dta", clear
{txt}
{com}.   
. 
.   
. 
. ****************************************************************************************************************************************
. ***************************************************************************************************************************************
. 
. ******* EIP MODEL: ALTERNATIVE MODEL 3 (RESTRICTED MODEL: EXCLUDE ALL AGENCY-LEVEL AND TIME-WISE DUMMY FIXED EFFECTS IN EIP MODEL TO ASSESS ROBUSTNESS OF THE ESTIMATED PARTISAN PRESIDENTIAL BUDGETARY PREFERENCE ESTIMATES) -- REPORTED IN SUPPLEMENTARY INFORMATION DOCUMENT) *****
. 
. **** ROBUSTNESS CHECK OF UNRESTRICTED MODEL REPORTED IN MANUSCRIPT: SANS AGENCY-LEVEL AND TIME-WISE DUMMY FIXED EFFECTS IN SCP MODEL: BUT WITH SEs CLUSTER-ADJUSTED BY AGENCY ******* 
. 
. 
. ***************************************************************************************************************************************
. ***************************************************************************************************************************************
. ***************************************************************************************************************************************
. ***************************************************************************************************************************************
. 
. 
. 
. 
. **** FIRST-STAGE ESTIMATION: OBTAINING EXTERNALLY-INDUCED BUDEGTARY PREFERENCE (EIP) PROPOSAL MODEL ESTIMATES *****
. 
. 
. set more off 
{txt}
{com}. 
. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. * eststo clear
. 
. 
. 
. ** ALTERNATIVE MODEL 3 (REPORTED IN THE SUPPLEMENTARY APPENDIX): (USE FOLLOWING 'AGENCY-IDEOLOGY' ADJUSTED COVARIATES: HDEMPCTAI, SDEMPCTAI, ASCIHA, & ASCTHA INTERACTION TERMS FROM EIP PROPOSAL MODEL SPECIFICATION)
. 
. 
. regress prgrowth hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratepres lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp, vce(cluster agencycode)

{txt}Linear regression                                      Number of obs ={res}    1282
                                                       {help j_robustsingular:F( 12,    31) =}       .
                                                       {txt}Prob > F      = {res}      .
                                                       {txt}R-squared     = {res} 0.2218
                                                       {txt}Root MSE      = {res} 43.352

{txt}{ralign 89:(Std. Err. adjusted for {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}               prgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      t{col 57}   P>|t|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}hdempctai {c |}{col 25}{res}{space 2}-.1661653{col 37}{space 2} .2139839{col 48}{space 1}   -0.78{col 57}{space 3}0.443{col 65}{space 4}-.6025884{col 78}{space 3} .2702578
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .2298591{col 37}{space 2} .2342394{col 48}{space 1}    0.98{col 57}{space 3}0.334{col 65}{space 4}-.2478754{col 78}{space 3} .7075936
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 6.597189{col 37}{space 2} 2.592975{col 48}{space 1}    2.54{col 57}{space 3}0.016{col 65}{space 4} 1.308782{col 78}{space 3}  11.8856
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-3.494799{col 37}{space 2} 2.124714{col 48}{space 1}   -1.64{col 57}{space 3}0.110{col 65}{space 4}-7.828182{col 78}{space 3} .8385848
{txt}{space 17}asctha {c |}{col 25}{res}{space 2}-.6432788{col 37}{space 2} .4202303{col 48}{space 1}   -1.53{col 57}{space 3}0.136{col 65}{space 4}-1.500344{col 78}{space 3} .2137866
{txt}{space 17}asciha {c |}{col 25}{res}{space 2} 7.974355{col 37}{space 2} 6.079894{col 48}{space 1}    1.31{col 57}{space 3}0.199{col 65}{space 4}-4.425671{col 78}{space 3} 20.37438
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}  .370797{col 37}{space 2} .0678744{col 48}{space 1}    5.46{col 57}{space 3}0.000{col 65}{space 4} .2323662{col 78}{space 3} .5092278
{txt}{space 13}ueratepres {c |}{col 25}{res}{space 2} .4393192{col 37}{space 2} 1.383845{col 48}{space 1}    0.32{col 57}{space 3}0.753{col 65}{space 4}-2.383052{col 78}{space 3} 3.261691
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2} 1.796955{col 37}{space 2} 1.022726{col 48}{space 1}    1.76{col 57}{space 3}0.089{col 65}{space 4}-.2889076{col 78}{space 3} 3.882817
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2}-1.843666{col 37}{space 2} 2.533098{col 48}{space 1}   -0.73{col 57}{space 3}0.472{col 65}{space 4}-7.009953{col 78}{space 3}  3.32262
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2}-4.545158{col 37}{space 2} 2.427275{col 48}{space 1}   -1.87{col 57}{space 3}0.071{col 65}{space 4}-9.495619{col 78}{space 3} .4053024
{txt}{space 20}grh {c |}{col 25}{res}{space 2}-2.889346{col 37}{space 2} 2.511352{col 48}{space 1}   -1.15{col 57}{space 3}0.259{col 65}{space 4}-8.011283{col 78}{space 3} 2.232591
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2}-4.434251{col 37}{space 2} 2.633992{col 48}{space 1}   -1.68{col 57}{space 3}0.102{col 65}{space 4}-9.806312{col 78}{space 3} .9378099
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 5.070363{col 37}{space 2} 7.305657{col 48}{space 1}    0.69{col 57}{space 3}0.493{col 65}{space 4}-9.829623{col 78}{space 3} 19.97035
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}.                 
.                 
. 
. * OBTAIN THE EXTERNALLY-INDUCED BUDEGTARY PREFERENCE (EIP) PROPOSAL MODEL ESTIMATES BY COMPUTING THE PREDICTED VALUES OF THE DEPENDENT VARIABLE FROM THE PRECEDING REGRESSION MODEL *
. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1282{col 25}-6805.073{col 37}-6644.363{col 48}   13{col 57} 13314.73{col 69} 13381.76
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. predict eip, xb
{txt}(312 missing values generated)

{com}. 
. 
. 
. 
. ***************************************************************************************************************************************
. 
. ***************************************************************************************************************************************
. 
. ***************************************************************************************************************************************
. 
. 
. **** SECOND-STAGE ESTIMATION: OBTAINING GENERALIZED PROPOSAL (GP) MODEL ESTIMATES *****
. 
. 
. 
. 
. **** EQUATION (2.1): EXCESS FUNDINGS BIAS EQUATION ANALYSIS *****
. 
. 
. * The xtset needs to be cleared in order to make the bootstrap process work with the cluster() and idcluster()
. 
. xtset, clear
{txt}
{com}. bootstrap _b, reps(10008) bca seed(123) nodots cluster(agencycode) idcluster(newagencycode): regress prgrowth eip presparty libagency modagency partymod partylib
{res}
{txt}Linear regression{col 49}Number of obs{col 68}= {res}     1282
{txt}{col 49}Replications{col 68}= {res}    10000
{txt}{col 49}Wald chi2({res}6{txt}){col 68}= {res}    53.07
{txt}{col 49}Prob > chi2{col 68}= {res}   0.0000
{txt}{col 49}R-squared{col 68}= {res}   0.2252
{txt}{col 49}Adj R-squared{col 68}= {res}   0.2215
{txt}{col 49}Root MSE{col 68}= {res}  43.1385

{txt}{ralign 78:(Replications based on {res:32} clusters in agencycode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 1}    prgrowth{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}eip {c |}{col 14}{res}{space 2} 1.013166{col 26}{space 2} .1901663{col 37}{space 1}    5.33{col 46}{space 3}0.000{col 54}{space 4} .6404467{col 67}{space 3} 1.385885
{txt}{space 3}presparty {c |}{col 14}{res}{space 2} 4.989268{col 26}{space 2}  3.66374{col 37}{space 1}    1.36{col 46}{space 3}0.173{col 54}{space 4} -2.19153{col 67}{space 3} 12.17007
{txt}{space 3}libagency {c |}{col 14}{res}{space 2} 2.505454{col 26}{space 2} 5.734869{col 37}{space 1}    0.44{col 46}{space 3}0.662{col 54}{space 4}-8.734682{col 67}{space 3} 13.74559
{txt}{space 3}modagency {c |}{col 14}{res}{space 2} -3.40741{col 26}{space 2} 3.284529{col 37}{space 1}   -1.04{col 46}{space 3}0.300{col 54}{space 4}-9.844969{col 67}{space 3} 3.030148
{txt}{space 4}partymod {c |}{col 14}{res}{space 2}-5.572587{col 26}{space 2} 4.382632{col 37}{space 1}   -1.27{col 46}{space 3}0.204{col 54}{space 4}-14.16239{col 67}{space 3} 3.017214
{txt}{space 4}partylib {c |}{col 14}{res}{space 2}-6.683282{col 26}{space 2} 6.572929{col 37}{space 1}   -1.02{col 46}{space 3}0.309{col 54}{space 4}-19.56599{col 67}{space 3} 6.199424
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1793444{col 26}{space 2} 2.613102{col 37}{space 1}    0.07{col 46}{space 3}0.945{col 54}{space 4}-4.942242{col 67}{space 3} 5.300931
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 79}Note: one or more parameters could not be estimated in 8 bootstrap replicates; standard-error estimates include only complete replications.{p_end}

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1282{col 25}-6805.073{col 37}-6641.551{col 48}    7{col 57}  13297.1{col 69}  13333.2
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict bstrapeq2, xb
{txt}(312 missing values generated)

{com}. 
. xtile bootmedcons1=_b[_cons], nquantiles(2)
{txt}
{com}. xtile bootmedeip=_b[eip], nquantiles(2)
{txt}
{com}. xtile bootmedparty=_b[presparty], nquantiles(2)
{txt}
{com}. xtile bootmedlibagency=_b[libagency], nquantiles(2)
{txt}
{com}. xtile bootmedmodagency=_b[modagency], nquantiles(2)
{txt}
{com}. xtile bootmedpartymod=_b[partymod], nquantiles(2)
{txt}
{com}. xtile bootmedpartylib=_b[partylib], nquantiles(2)
{txt}
{com}. 
. 
. * Now we have to Reset the Panel Data Declaration
. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. 
. * Generating Predicted Values of the Observed Proposal (OP)
. 
. gen predreq1=bootmedcons1+bootmedeip*eip+bootmedparty*presparty+bootmedlibagency*libagency+bootmedmodagency*modagency+bootmedpartymod*partymod+bootmedpartylib*partylib
{txt}(312 missing values generated)

{com}. 
. 
. * Generating the Residuals from Stage 1
. 
. gen residstage1=prgrowth-predreq1
{txt}(318 missing values generated)

{com}. gen absresidstage1=abs(residstage1)
{txt}(318 missing values generated)

{com}. 
. 
. 
. *************************************************************************************************************************************
. * EQUATION (2.2) -- FIRST-STAGE ARCH(j) MODEL ESTIMATES: j=1, j=2, j=3, & j=4 (ANALYSIS FROM 1 TO 4 LAGS ON THE ARCH TERMS) *
. *************************************************************************************************************************************
. 
. xtreg absresidstage1 l.absresidstage1, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1241
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1394                         {txt}Obs per group: min = {res}       17
{txt}       between = {res}0.9919                                        {txt}avg = {res}     38.8
{txt}       overall = {res}0.2135                                        {txt}max = {res}       46

                                                {txt}F({res}1{txt},{res}1208{txt})          = {res}   195.72
{txt}corr(u_i, Xb)  = {res}0.3753                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage1 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3604494{col 28}{space 2} .0257647{col 39}{space 1}   13.99{col 48}{space 3}0.000{col 56}{space 4} .3099008{col 69}{space 3}  .410998
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 11.84178{col 28}{space 2} 1.058486{col 39}{space 1}   11.19{col 48}{space 3}0.000{col 56}{space 4} 9.765106{col 69}{space 3} 13.91845
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res}  8.912156
       {txt}sigma_e {c |} {res} 32.710696
           {txt}rho {c |} {res} .06910162{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1208{txt}) = {res}    2.49            {txt}Prob > F = {res}0.0000
{txt}
{com}. predict absresid1stpred1, xbu
{txt}(359 missing values generated)

{com}. estat ic 

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1241{col 25}-6165.592{col 37}-6072.418{col 48}    2{col 57} 12148.84{col 69} 12159.08
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *
. 
. xtreg absresidstage1 l(1/2).absresidstage1, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1202
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1548                         {txt}Obs per group: min = {res}       16
{txt}       between = {res}0.9966                                        {txt}avg = {res}     37.6
{txt}       overall = {res}0.2376                                        {txt}max = {res}       45

                                                {txt}F({res}2{txt},{res}1168{txt})          = {res}   106.96
{txt}corr(u_i, Xb)  = {res}0.4089                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage1 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3558815{col 28}{space 2} .0289275{col 39}{space 1}   12.30{col 48}{space 3}0.000{col 56}{space 4} .2991259{col 69}{space 3} .4126371
{txt}{space 11}L2. {c |}{col 16}{res}{space 2} .0766637{col 28}{space 2} .0282438{col 39}{space 1}    2.71{col 48}{space 3}0.007{col 56}{space 4} .0212495{col 69}{space 3} .1320779
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 10.61931{col 28}{space 2} 1.129987{col 39}{space 1}    9.40{col 48}{space 3}0.000{col 56}{space 4} 8.402275{col 69}{space 3} 12.83634
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 8.3449426
       {txt}sigma_e {c |} {res} 32.729001
           {txt}rho {c |} {res} .06104182{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1168{txt}) = {res}    1.95            {txt}Prob > F = {res}0.0015
{txt}
{com}. predict absresid1stpred2, xbu
{txt}(398 missing values generated)

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1202{col 25}-5982.282{col 37}-5881.209{col 48}    3{col 57} 11768.42{col 69} 11783.69
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *
. 
. xtreg absresidstage1 l(1/3).absresidstage1, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1163
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1619                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.9935                                        {txt}avg = {res}     36.3
{txt}       overall = {res}0.2394                                        {txt}max = {res}       44

                                                {txt}F({res}3{txt},{res}1128{txt})          = {res}    72.64
{txt}corr(u_i, Xb)  = {res}0.3932                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage1 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3766554{col 28}{space 2}  .029037{col 39}{space 1}   12.97{col 48}{space 3}0.000{col 56}{space 4} .3196828{col 69}{space 3} .4336281
{txt}{space 11}L2. {c |}{col 16}{res}{space 2} .0397397{col 28}{space 2} .0308133{col 39}{space 1}    1.29{col 48}{space 3}0.197{col 56}{space 4}-.0207182{col 69}{space 3} .1001975
{txt}{space 11}L3. {c |}{col 16}{res}{space 2} .0003337{col 28}{space 2} .0280425{col 39}{space 1}    0.01{col 48}{space 3}0.991{col 56}{space 4}-.0546877{col 69}{space 3} .0553551
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 10.77601{col 28}{space 2} 1.175236{col 39}{space 1}    9.17{col 48}{space 3}0.000{col 56}{space 4} 8.470111{col 69}{space 3}  13.0819
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 8.0455965
       {txt}sigma_e {c |} {res}  32.31518
           {txt}rho {c |} {res} .05836923{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1128{txt}) = {res}    1.66            {txt}Prob > F = {res}0.0137
{txt}
{com}. predict absresid1stpred3, xbu
{txt}(437 missing values generated)

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1163{col 25}-5777.216{col 37}-5674.506{col 48}    4{col 57} 11357.01{col 69} 11377.25
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *
. 
. xtreg absresidstage1 l(1/4).absresidstage1, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1124
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1782                         {txt}Obs per group: min = {res}       14
{txt}       between = {res}0.9791                                        {txt}avg = {res}     35.1
{txt}       overall = {res}0.2485                                        {txt}max = {res}       43

                                                {txt}F({res}4{txt},{res}1088{txt})          = {res}    58.97
{txt}corr(u_i, Xb)  = {res}0.3634                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage1{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage1 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .3793914{col 28}{space 2}  .028547{col 39}{space 1}   13.29{col 48}{space 3}0.000{col 56}{space 4}  .323378{col 69}{space 3} .4354049
{txt}{space 11}L2. {c |}{col 16}{res}{space 2}  .048331{col 28}{space 2} .0301396{col 39}{space 1}    1.60{col 48}{space 3}0.109{col 56}{space 4}-.0108074{col 69}{space 3} .1074694
{txt}{space 11}L3. {c |}{col 16}{res}{space 2} .0078927{col 28}{space 2} .0294999{col 39}{space 1}    0.27{col 48}{space 3}0.789{col 56}{space 4}-.0499904{col 69}{space 3} .0657759
{txt}{space 11}L4. {c |}{col 16}{res}{space 2}-.0281008{col 28}{space 2} .0270498{col 39}{space 1}   -1.04{col 48}{space 3}0.299{col 56}{space 4}-.0811765{col 69}{space 3} .0249749
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 10.60604{col 28}{space 2} 1.177977{col 39}{space 1}    9.00{col 48}{space 3}0.000{col 56}{space 4}  8.29468{col 69}{space 3} 12.91741
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 7.5499978
       {txt}sigma_e {c |} {res} 30.806045
           {txt}rho {c |} {res} .05666165{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1088{txt}) = {res}    1.50            {txt}Prob > F = {res}0.0391
{txt}
{com}. predict absresid1stpred4, xbu
{txt}(476 missing values generated)

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1124{col 25}-5539.617{col 37}-5429.339{col 48}    5{col 57} 10868.68{col 69}  10893.8
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. *
. 
. 
. 
. correlate absresid1stpred1 absresid1stpred2 absresid1stpred3 absresid1stpred4 
{txt}(obs=1124)

             {c |} absre~d1 absres~2 absres~3 absres~4
{hline 13}{c +}{hline 36}
absresid1s~1 {c |}{res}   1.0000
{txt}absresid1s~2 {c |}{res}   0.9913   1.0000
{txt}absresid1s~3 {c |}{res}   0.9951   0.9958   1.0000
{txt}absresid1s~4 {c |}{res}   0.9877   0.9910   0.9946   1.0000

{txt}
{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * BASE SUBSEQUENT ANALYSIS ON ARCH(1)RESIDUAL PROCESS OBTAINED IN EQUATION (2.2) SINCE IT IS BEST FIT TO DATA AND HIGHLY CORRELATED WITH HIGHER-ORDER ARCH PROCESSES *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. *The result from the above list of procedures is that we will use a single lag for the model to bootstrap
. 
. * Bootstrapped ARCH model using the asbsolute values of the residuals from the preceding procedure *
. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * EQUATION (2.3): ESTIMATE "FINAL" FIRST-STAGE ARCH(1) RESIDUAL ANALYSIS *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. gen lagabsresidstage1=l.absresidstage1
{txt}(343 missing values generated)

{com}. bootstrap _b, reps(10003) bca seed(123) nodots saving(eq3boot, replace): xtreg absresidstage1 lagabsresidstage1, fe
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1241
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1394                         {txt}Obs per group: min = {res}       17
{txt}       between = {res}0.9919                                        {txt}avg = {res}     38.8
{txt}       overall = {res}0.2135                                        {txt}max = {res}       46

                                                {txt}Wald chi2({res}1{txt})       = {res}    25.32
{txt}corr(u_i, Xb)  = {res}0.3753                         {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 83:(Replications based on clustering on agencycode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}   Observed{col 31}   Bootstrap{col 59}         Norm{col 72}al-based
{col 1}   absresidstage1{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lagabsresidstage1 {c |}{col 19}{res}{space 2} .3604494{col 31}{space 2} .0716356{col 42}{space 1}    5.03{col 51}{space 3}0.000{col 59}{space 4} .2200462{col 72}{space 3} .5008526
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 11.84178{col 31}{space 2} 1.478743{col 42}{space 1}    8.01{col 51}{space 3}0.000{col 59}{space 4} 8.943498{col 72}{space 3} 14.74006
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res}  8.912156
          {txt}sigma_e {c |} {res} 32.710696
              {txt}rho {c |} {res} .06910162{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1241{col 25}-6165.592{col 37}-6072.418{col 48}    2{col 57} 12148.84{col 69} 12159.08
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict bstrapeq3, xbu
{txt}(359 missing values generated)

{com}. 
. xtile bootmedcons2=_b[_cons], nquantiles(2)
{txt}
{com}. xtile bootmedlagabsresid2=_b[lagabsresidstage1], nquantiles(2)
{txt}
{com}. 
. gen cfesdhat1=bootmedcons2+bootmedlagabsresid2*lagabsresidstage1
{txt}(343 missing values generated)

{com}.  
. gen cfesd1party=cfesdhat1*presparty
{txt}(343 missing values generated)

{com}. gen cfesd1modagency=cfesdhat1*modagency
{txt}(343 missing values generated)

{com}. gen cfesd1libagency=cfesdhat1*libagency
{txt}(343 missing values generated)

{com}. gen cfesd1partymodag=cfesdhat1*modagency*presparty
{txt}(343 missing values generated)

{com}. gen cfesd1partylibag=cfesdhat1*libagency*presparty
{txt}(343 missing values generated)

{com}. 
. regress prgrowth eip presparty libagency modagency partymod partylib ///
>         cfesdhat1 cfesd1party cfesd1modagency cfesd1libagency cfesd1partymodag cfesd1partylibag

      {txt}Source {c |}       SS       df       MS              Number of obs ={res}    1241
{txt}{hline 13}{char +}{hline 30}           F( 12,  1228) ={res}   20.39
    {txt}   Model {char |} {res} 418772.185    12  34897.6821           {txt}Prob > F      = {res} 0.0000
    {txt}Residual {char |} {res} 2102165.93  1228  1711.86151           {txt}R-squared     = {res} 0.1661
{txt}{hline 13}{char +}{hline 30}           Adj R-squared = {res} 0.1580
    {txt}   Total {char |} {res} 2520938.12  1240  2033.01461           {txt}Root MSE      = {res} 41.375

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        prgrowth{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}eip {c |}{col 18}{res}{space 2} .8384716{col 30}{space 2} .0621872{col 41}{space 1}   13.48{col 50}{space 3}0.000{col 58}{space 4} .7164666{col 71}{space 3} .9604767
{txt}{space 7}presparty {c |}{col 18}{res}{space 2} 2.480752{col 30}{space 2} 5.067087{col 41}{space 1}    0.49{col 50}{space 3}0.625{col 58}{space 4}-7.460353{col 71}{space 3} 12.42186
{txt}{space 7}libagency {c |}{col 18}{res}{space 2}-5.782963{col 30}{space 2} 3.925554{col 41}{space 1}   -1.47{col 50}{space 3}0.141{col 58}{space 4} -13.4845{col 71}{space 3} 1.918572
{txt}{space 7}modagency {c |}{col 18}{res}{space 2}-5.284176{col 30}{space 2} 3.903554{col 41}{space 1}   -1.35{col 50}{space 3}0.176{col 58}{space 4}-12.94255{col 71}{space 3} 2.374198
{txt}{space 8}partymod {c |}{col 18}{res}{space 2}-9.912336{col 30}{space 2} 7.106361{col 41}{space 1}   -1.39{col 50}{space 3}0.163{col 58}{space 4}-23.85429{col 71}{space 3} 4.029618
{txt}{space 8}partylib {c |}{col 18}{res}{space 2}-8.337301{col 30}{space 2} 8.425083{col 41}{space 1}   -0.99{col 50}{space 3}0.323{col 58}{space 4}-24.86645{col 71}{space 3}  8.19185
{txt}{space 7}cfesdhat1 {c |}{col 18}{res}{space 2}-.1626479{col 30}{space 2} .0459604{col 41}{space 1}   -3.54{col 50}{space 3}0.000{col 58}{space 4}-.2528174{col 71}{space 3}-.0724783
{txt}{space 5}cfesd1party {c |}{col 18}{res}{space 2} .1475182{col 30}{space 2} .1683313{col 41}{space 1}    0.88{col 50}{space 3}0.381{col 58}{space 4}-.1827306{col 71}{space 3}  .477767
{txt}{space 1}cfesd1modagency {c |}{col 18}{res}{space 2} .1055316{col 30}{space 2} .1320245{col 41}{space 1}    0.80{col 50}{space 3}0.424{col 58}{space 4}-.1534869{col 71}{space 3} .3645501
{txt}{space 1}cfesd1libagency {c |}{col 18}{res}{space 2} .3059611{col 30}{space 2} .0679624{col 41}{space 1}    4.50{col 50}{space 3}0.000{col 58}{space 4} .1726258{col 71}{space 3} .4392965
{txt}cfesd1partymodag {c |}{col 18}{res}{space 2} .1494354{col 30}{space 2} .2359886{col 41}{space 1}    0.63{col 50}{space 3}0.527{col 58}{space 4}-.3135501{col 71}{space 3} .6124209
{txt}cfesd1partylibag {c |}{col 18}{res}{space 2} .3277512{col 30}{space 2} .2808498{col 41}{space 1}    1.17{col 50}{space 3}0.243{col 58}{space 4}-.2232473{col 71}{space 3} .8787497
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 3.408346{col 30}{space 2} 2.411778{col 41}{space 1}    1.41{col 50}{space 3}0.158{col 58}{space 4}-1.323317{col 71}{space 3} 8.140008
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * EQUATION (2.4): FIRST-STAGE GENERALIZED PROPOSAL MODEL ESTIMATES *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. xtset, clear
{txt}
{com}. 
. bootstrap _b, reps(10010) bca seed(123) nodots cluster(agencycode) idcluster(new2agencycode) saving(cfesregboot, replace): ///
>         regress prgrowth eip presparty libagency modagency partymod partylib cfesdhat1 cfesd1party ///
>         cfesd1modagency cfesd1libagency cfesd1partymodag cfesd1partylibag
{res}
{txt}Linear regression{col 49}Number of obs{col 68}= {res}     1241
{txt}{col 49}Replications{col 68}= {res}    10000
{txt}{col 49}Wald chi2({res}12{txt}){col 68}= {res}    44.41
{txt}{col 49}Prob > chi2{col 68}= {res}   0.0000
{txt}{col 49}R-squared{col 68}= {res}   0.1661
{txt}{col 49}Adj R-squared{col 68}= {res}   0.1580
{txt}{col 49}Root MSE{col 68}= {res}  41.3746

{txt}{ralign 82:(Replications based on {res:32} clusters in agencycode)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}   Observed{col 30}   Bootstrap{col 58}         Norm{col 71}al-based
{col 1}        prgrowth{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}eip {c |}{col 18}{res}{space 2} .8384716{col 30}{space 2} .2438552{col 41}{space 1}    3.44{col 50}{space 3}0.001{col 58}{space 4} .3605243{col 71}{space 3} 1.316419
{txt}{space 7}presparty {c |}{col 18}{res}{space 2} 2.480752{col 30}{space 2} 5.731533{col 41}{space 1}    0.43{col 50}{space 3}0.665{col 58}{space 4}-8.752845{col 71}{space 3} 13.71435
{txt}{space 7}libagency {c |}{col 18}{res}{space 2}-5.782963{col 30}{space 2} 6.350825{col 41}{space 1}   -0.91{col 50}{space 3}0.363{col 58}{space 4}-18.23035{col 71}{space 3} 6.664425
{txt}{space 7}modagency {c |}{col 18}{res}{space 2}-5.284176{col 30}{space 2} 4.868729{col 41}{space 1}   -1.09{col 50}{space 3}0.278{col 58}{space 4}-14.82671{col 71}{space 3} 4.258358
{txt}{space 8}partymod {c |}{col 18}{res}{space 2}-9.912336{col 30}{space 2} 6.444761{col 41}{space 1}   -1.54{col 50}{space 3}0.124{col 58}{space 4}-22.54383{col 71}{space 3} 2.719162
{txt}{space 8}partylib {c |}{col 18}{res}{space 2}-8.337301{col 30}{space 2} 10.58618{col 41}{space 1}   -0.79{col 50}{space 3}0.431{col 58}{space 4}-29.08584{col 71}{space 3} 12.41123
{txt}{space 7}cfesdhat1 {c |}{col 18}{res}{space 2}-.1626479{col 30}{space 2} .1407634{col 41}{space 1}   -1.16{col 50}{space 3}0.248{col 58}{space 4} -.438539{col 71}{space 3} .1132433
{txt}{space 5}cfesd1party {c |}{col 18}{res}{space 2} .1475182{col 30}{space 2} .2707024{col 41}{space 1}    0.54{col 50}{space 3}0.586{col 58}{space 4}-.3830487{col 71}{space 3} .6780851
{txt}{space 1}cfesd1modagency {c |}{col 18}{res}{space 2} .1055316{col 30}{space 2} .1724116{col 41}{space 1}    0.61{col 50}{space 3}0.540{col 58}{space 4}-.2323889{col 71}{space 3} .4434522
{txt}{space 1}cfesd1libagency {c |}{col 18}{res}{space 2} .3059611{col 30}{space 2} .1680676{col 41}{space 1}    1.82{col 50}{space 3}0.069{col 58}{space 4}-.0234453{col 71}{space 3} .6353676
{txt}cfesd1partymodag {c |}{col 18}{res}{space 2} .1494354{col 30}{space 2} .3127133{col 41}{space 1}    0.48{col 50}{space 3}0.633{col 58}{space 4}-.4634714{col 71}{space 3} .7623422
{txt}cfesd1partylibag {c |}{col 18}{res}{space 2} .3277512{col 30}{space 2} .5040546{col 41}{space 1}    0.65{col 50}{space 3}0.516{col 58}{space 4}-.6601777{col 71}{space 3}  1.31568
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} 3.408346{col 30}{space 2} 4.592474{col 41}{space 1}    0.74{col 50}{space 3}0.458{col 58}{space 4}-5.592737{col 71}{space 3} 12.40943
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 79}Note: one or more parameters could not be estimated in 10 bootstrap replicates; standard-error estimates include only complete replications.{p_end}

{com}. 
.     estat ic 

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1241{col 25}-6486.922{col 37}  -6374.2{col 48}   13{col 57}  12774.4{col 69} 12841.01
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}.         
.         predict bstrapeq4, xb
{txt}(357 missing values generated)

{com}. 
. xtile bootmedcons3=_b[_cons], nquantiles(2)
{txt}
{com}. xtile bootmedeip3=_b[eip], nquantiles(2)
{txt}
{com}. xtile bootmedparty3=_b[presparty], nquantiles(2) 
{txt}
{com}. xtile bootmedlibagency3=_b[libagency], nquantiles(2)
{txt}
{com}. xtile bootmedmodagency3=_b[modagency], nquantiles(2)
{txt}
{com}. xtile bootmedpartymod3=_b[partymod], nquantiles(2)
{txt}
{com}. xtile bootmedpartylib3=_b[partylib], nquantiles(2)
{txt}
{com}. xtile bootmedcfesd3=_b[cfesdhat1],  nquantiles(2)
{txt}
{com}. xtile bootmedcfesdparty3=_b[cfesd1party],  nquantiles(2)
{txt}
{com}. xtile bootmedcfesdma3=_b[cfesd1modagency],  nquantiles(2)
{txt}
{com}. xtile bootmedcfesdla3=_b[cfesd1libagency],  nquantiles(2)
{txt}
{com}. xtile bootmedcfesdpma3=_b[cfesd1partymodag],  nquantiles(2)
{txt}
{com}. xtile bootmedcfesdpla3=_b[cfesd1partylibag], nquantiles(2)
{txt}
{com}. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. generate predvalstage2= bootmedcons3 + bootmedparty3*presparty + bootmedeip3*eip + ///
>         bootmedlibagency3*libagency + bootmedmodagency3*modagency + bootmedpartymod3*partymod + bootmedpartylib3*partylib + ///
>         bootmedcfesd3*cfesdhat1+ bootmedcfesdparty3*cfesd1party + bootmedcfesdma3*cfesd1modagency + ///
>         bootmedcfesdla3*cfesd1libagency + bootmedcfesdpma3*cfesd1partymodag + bootmedcfesdpla3*cfesd1partylibag
{txt}(357 missing values generated)

{com}. 
.         
. *generate residuals and absolute residuals from the prior procedures 
. 
. gen residstage2 = prgrowth-predvalstage2
{txt}(359 missing values generated)

{com}. 
. gen absresidstage2 = abs(residstage2)
{txt}(359 missing values generated)

{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * Testing the Residual Process from SECOND-STAGE ARCH(j) Analysis (ANALYSIS FROM 1 TO 4 LAGS ON THE ARCH TERMS) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. xtreg absresidstage2 l(1/1).absresidstage2, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1202
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2296                         {txt}Obs per group: min = {res}       16
{txt}       between = {res}0.9887                                        {txt}avg = {res}     37.6
{txt}       overall = {res}0.3163                                        {txt}max = {res}       45

                                                {txt}F({res}1{txt},{res}1169{txt})          = {res}   348.37
{txt}corr(u_i, Xb)  = {res}0.3944                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage2{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage2 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .4624101{col 28}{space 2} .0247746{col 39}{space 1}   18.66{col 48}{space 3}0.000{col 56}{space 4} .4138025{col 69}{space 3} .5110178
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 24.79453{col 28}{space 2} 2.287036{col 39}{space 1}   10.84{col 48}{space 3}0.000{col 56}{space 4} 20.30737{col 69}{space 3} 29.28168
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 18.368192
       {txt}sigma_e {c |} {res} 66.999783
           {txt}rho {c |} {res} .06990577{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1169{txt}) = {res}    2.17            {txt}Prob > F = {res}0.0002
{txt}
{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1202{col 25}-6899.629{col 37} -6742.87{col 48}    2{col 57} 13489.74{col 69} 13499.92
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict absresid2ndpred1, xbu
{txt}(398 missing values generated)

{com}. *
. 
. xtreg absresidstage2 l(1/2).absresidstage2, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1163
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2396                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.9956                                        {txt}avg = {res}     36.3
{txt}       overall = {res}0.3276                                        {txt}max = {res}       44

                                                {txt}F({res}2{txt},{res}1129{txt})          = {res}   177.87
{txt}corr(u_i, Xb)  = {res}0.4014                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage2{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage2 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .4921168{col 28}{space 2} .0293303{col 39}{space 1}   16.78{col 48}{space 3}0.000{col 56}{space 4} .4345689{col 69}{space 3} .5496648
{txt}{space 11}L2. {c |}{col 16}{res}{space 2}-.0111373{col 28}{space 2} .0281793{col 39}{space 1}   -0.40{col 48}{space 3}0.693{col 56}{space 4} -.066427{col 69}{space 3} .0441525
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 24.23827{col 28}{space 2} 2.431314{col 39}{space 1}    9.97{col 48}{space 3}0.000{col 56}{space 4} 19.46787{col 69}{space 3} 29.00868
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 18.236761
       {txt}sigma_e {c |} {res} 66.746787
           {txt}rho {c |} {res}  .0694652{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1129{txt}) = {res}    1.90            {txt}Prob > F = {res}0.0022
{txt}
{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1163{col 25}-6677.906{col 37}-6518.626{col 48}    3{col 57} 13043.25{col 69} 13058.43
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict absresid2ndpred2, xbu
{txt}(437 missing values generated)

{com}. *
. 
. xtreg absresidstage2 l(1/3).absresidstage2, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1124
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2500                         {txt}Obs per group: min = {res}       14
{txt}       between = {res}0.9933                                        {txt}avg = {res}     35.1
{txt}       overall = {res}0.3386                                        {txt}max = {res}       43

                                                {txt}F({res}3{txt},{res}1089{txt})          = {res}   120.99
{txt}corr(u_i, Xb)  = {res}0.4104                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage2{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage2 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .5016374{col 28}{space 2} .0299743{col 39}{space 1}   16.74{col 48}{space 3}0.000{col 56}{space 4} .4428234{col 69}{space 3} .5604513
{txt}{space 11}L2. {c |}{col 16}{res}{space 2}-.0166212{col 28}{space 2} .0329626{col 39}{space 1}   -0.50{col 48}{space 3}0.614{col 56}{space 4}-.0812986{col 69}{space 3} .0480562
{txt}{space 11}L3. {c |}{col 16}{res}{space 2}  .022334{col 28}{space 2} .0285653{col 39}{space 1}    0.78{col 48}{space 3}0.434{col 56}{space 4}-.0337153{col 69}{space 3} .0783833
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 22.58306{col 28}{space 2} 2.573791{col 39}{space 1}    8.77{col 48}{space 3}0.000{col 56}{space 4}  17.5329{col 69}{space 3} 27.63321
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 16.821135
       {txt}sigma_e {c |} {res} 66.768363
           {txt}rho {c |} {res} .05968207{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1089{txt}) = {res}    1.48            {txt}Prob > F = {res}0.0453
{txt}
{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1124{col 25}-6460.954{col 37} -6299.29{col 48}    4{col 57} 12606.58{col 69} 12626.68
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict absresid2ndpred3, xbu
{txt}(476 missing values generated)

{com}. *
. 
. xtreg absresidstage2 l(1/4).absresidstage2, fe

{txt}Fixed-effects (within) regression               Number of obs      = {res}     1085
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2667                         {txt}Obs per group: min = {res}       13
{txt}       between = {res}0.9842                                        {txt}avg = {res}     33.9
{txt}       overall = {res}0.3417                                        {txt}max = {res}       42

                                                {txt}F({res}4{txt},{res}1049{txt})          = {res}    95.37
{txt}corr(u_i, Xb)  = {res}0.3491                         {txt}Prob > F           =    {res}0.0000

{txt}{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}absresidstage2{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
absresidstage2 {c |}
{space 11}L1. {c |}{col 16}{res}{space 2} .5084411{col 28}{space 2} .0292493{col 39}{space 1}   17.38{col 48}{space 3}0.000{col 56}{space 4} .4510472{col 69}{space 3} .5658349
{txt}{space 11}L2. {c |}{col 16}{res}{space 2}-.0332003{col 28}{space 2} .0324094{col 39}{space 1}   -1.02{col 48}{space 3}0.306{col 56}{space 4}-.0967949{col 69}{space 3} .0303943
{txt}{space 11}L3. {c |}{col 16}{res}{space 2} .0373402{col 28}{space 2} .0318373{col 39}{space 1}    1.17{col 48}{space 3}0.241{col 56}{space 4}-.0251319{col 69}{space 3} .0998124
{txt}{space 11}L4. {c |}{col 16}{res}{space 2}-.0845358{col 28}{space 2} .0280286{col 39}{space 1}   -3.02{col 48}{space 3}0.003{col 56}{space 4}-.1395343{col 69}{space 3}-.0295372
{txt}{space 14} {c |}
{space 9}_cons {c |}{col 16}{res}{space 2} 25.73527{col 28}{space 2} 2.592766{col 39}{space 1}    9.93{col 48}{space 3}0.000{col 56}{space 4} 20.64767{col 69}{space 3} 30.82287
{txt}{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       sigma_u {c |} {res} 19.829264
       {txt}sigma_e {c |} {res} 64.015393
           {txt}rho {c |} {res}  .0875495{txt}   (fraction of variance due to u_i)
{hline 15}{c BT}{hline 64}
F test that all u_i=0:     F({res}31{txt}, {res}1049{txt}) = {res}    2.08            {txt}Prob > F = {res}0.0005
{txt}
{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1085{col 25}-6202.156{col 37}-6033.892{col 48}    5{col 57} 12077.78{col 69} 12102.73
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict absresid2ndpred4, xbu
{txt}(515 missing values generated)

{com}. 
. 
. 
. correlate absresid2ndpred1 absresid2ndpred2 absresid2ndpred3 absresid2ndpred4 
{txt}(obs=1085)

             {c |} a~dpred1 a~dpred2 a~dpred3 a~dpred4
{hline 13}{c +}{hline 36}
absresid2n~1 {c |}{res}   1.0000
{txt}absresid2n~2 {c |}{res}   0.9986   1.0000
{txt}absresid2n~3 {c |}{res}   0.9969   0.9986   1.0000
{txt}absresid2n~4 {c |}{res}   0.9857   0.9892   0.9888   1.0000

{txt}
{com}. 
. 
. 
. 
. * NOTE: Results of the testing process above is that we will use ARCH(1) going forward because the correlations with higher-order ARCH lag processes are > + 0.99, 
. * plus we save from unnecessarily losing observations
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. gen lagabsresidstage2=l.absresidstage2
{txt}(384 missing values generated)

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * EQUATION (2.5): "FINAL" SECOND-STAGE ARCH(1) RESIDUAL ANALYSIS *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. bootstrap _b, reps(10003) bca seed(123) nodots saving(eq3primeboot, replace): xtreg absresidstage2 lagabsresidstage2, fe
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1202
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2296                         {txt}Obs per group: min = {res}       16
{txt}       between = {res}0.9887                                        {txt}avg = {res}     37.6
{txt}       overall = {res}0.3163                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}1{txt})       = {res}    46.59
{txt}corr(u_i, Xb)  = {res}0.3944                         {txt}Prob > chi2        =    {res}0.0000

{txt}{ralign 83:(Replications based on clustering on agencycode)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}   Observed{col 31}   Bootstrap{col 59}         Norm{col 72}al-based
{col 1}   absresidstage2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
lagabsresidstage2 {c |}{col 19}{res}{space 2} .4624101{col 31}{space 2} .0677456{col 42}{space 1}    6.83{col 51}{space 3}0.000{col 59}{space 4} .3296311{col 72}{space 3} .5951891
{txt}{space 12}_cons {c |}{col 19}{res}{space 2} 24.79453{col 31}{space 2} 2.626059{col 42}{space 1}    9.44{col 51}{space 3}0.000{col 59}{space 4} 19.64755{col 72}{space 3} 29.94151
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} 18.368192
          {txt}sigma_e {c |} {res} 66.999783
              {txt}rho {c |} {res} .06990577{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1202{col 25}-6899.629{col 37} -6742.87{col 48}    2{col 57} 13489.74{col 69} 13499.92
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. predict bstrapeq3p, xbu
{txt}(398 missing values generated)

{com}. 
. 
. 
. xtile bootmedcons4=_b[_cons], nquantiles(2)
{txt}
{com}. xtile bootmedlagstage2resid=_b[lagabsresidstage2], nquantiles(2)
{txt}
{com}. 
. gen cfesdhat2=bootmedcons4+bootmedlagstage2resid*lagabsresidstage2
{txt}(384 missing values generated)

{com}. 
. gen cfesd2party=cfesdhat2*presparty
{txt}(384 missing values generated)

{com}. gen cfesd2modagency=cfesdhat2*modagency
{txt}(384 missing values generated)

{com}. gen cfesd2libagency=cfesdhat2*libagency
{txt}(384 missing values generated)

{com}. gen cfesd2partymodag=cfesdhat2*modagency*presparty
{txt}(384 missing values generated)

{com}. gen cfesd2partylibag=cfesdhat2*libagency*presparty
{txt}(384 missing values generated)

{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ******* EQUATION (2.6): SECOND-STAGE/"FINAL' GENERALIZED PROPOSAL EQUATION ANALYSIS & CORRESPONDING WALD-TYPE HYPOTHESIS TESTS (DERIVED FROM THE EMPIRICAL DISTRIBUTION FUNCTION VIA 10,000 BOOTSTRAP SIMULATIONS) ********
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. *** "PRELIMINARY" EQUATION (2.6) ESTIMATES (SANS BOOTSTRAP STANDARD ERRORS)-- USED TO OBTAIN MODEL FIT STATISTICS (DO NOT REPORT COEFFICIENTS AND STANDARD ERRORS FROM THIS MODEL RUN)***
.  
. regress prgrowth ///
>         eip presparty libagency modagency partymod partylib cfesdhat2 cfesd2party cfesd2modagency cfesd2libagency ///
>         cfesd2partymodag cfesd2partylibag

      {txt}Source {c |}       SS       df       MS              Number of obs ={res}    1202
{txt}{hline 13}{char +}{hline 30}           F( 12,  1189) ={res}   17.86
    {txt}   Model {char |} {res}  377808.12    12    31484.01           {txt}Prob > F      = {res} 0.0000
    {txt}Residual {char |} {res} 2095885.65  1189  1762.72973           {txt}R-squared     = {res} 0.1527
{txt}{hline 13}{char +}{hline 30}           Adj R-squared = {res} 0.1442
    {txt}   Total {char |} {res} 2473693.77  1201  2059.69506           {txt}Root MSE      = {res} 41.985

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}        prgrowth{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}eip {c |}{col 18}{res}{space 2} .8622003{col 30}{space 2} .0651312{col 41}{space 1}   13.24{col 50}{space 3}0.000{col 58}{space 4} .7344153{col 71}{space 3} .9899852
{txt}{space 7}presparty {c |}{col 18}{res}{space 2} 2.926771{col 30}{space 2} 5.253201{col 41}{space 1}    0.56{col 50}{space 3}0.578{col 58}{space 4}-7.379804{col 71}{space 3} 13.23335
{txt}{space 7}libagency {c |}{col 18}{res}{space 2}-3.862428{col 30}{space 2} 4.109379{col 41}{space 1}   -0.94{col 50}{space 3}0.347{col 58}{space 4}-11.92487{col 71}{space 3} 4.200015
{txt}{space 7}modagency {c |}{col 18}{res}{space 2}-2.197654{col 30}{space 2}  4.11852{col 41}{space 1}   -0.53{col 50}{space 3}0.594{col 58}{space 4}-10.27803{col 71}{space 3} 5.882723
{txt}{space 8}partymod {c |}{col 18}{res}{space 2}-7.163592{col 30}{space 2} 7.485692{col 41}{space 1}   -0.96{col 50}{space 3}0.339{col 58}{space 4}-21.85023{col 71}{space 3} 7.523044
{txt}{space 8}partylib {c |}{col 18}{res}{space 2}-4.134852{col 30}{space 2} 8.994578{col 41}{space 1}   -0.46{col 50}{space 3}0.646{col 58}{space 4}-21.78186{col 71}{space 3} 13.51216
{txt}{space 7}cfesdhat2 {c |}{col 18}{res}{space 2}-.0190023{col 30}{space 2} .0314356{col 41}{space 1}   -0.60{col 50}{space 3}0.546{col 58}{space 4}-.0806776{col 71}{space 3} .0426731
{txt}{space 5}cfesd2party {c |}{col 18}{res}{space 2} .0840327{col 30}{space 2} .0853273{col 41}{space 1}    0.98{col 50}{space 3}0.325{col 58}{space 4}-.0833761{col 71}{space 3} .2514415
{txt}{space 1}cfesd2modagency {c |}{col 18}{res}{space 2}-.0030744{col 30}{space 2} .0626717{col 41}{space 1}   -0.05{col 50}{space 3}0.961{col 58}{space 4}-.1260338{col 71}{space 3} .1198851
{txt}{space 1}cfesd2libagency {c |}{col 18}{res}{space 2} .1068464{col 30}{space 2} .0398336{col 41}{space 1}    2.68{col 50}{space 3}0.007{col 58}{space 4} .0286944{col 71}{space 3} .1849984
{txt}cfesd2partymodag {c |}{col 18}{res}{space 2}-.0501435{col 30}{space 2} .1048703{col 41}{space 1}   -0.48{col 50}{space 3}0.633{col 58}{space 4}-.2558949{col 71}{space 3} .1556078
{txt}cfesd2partylibag {c |}{col 18}{res}{space 2}-.0864079{col 30}{space 2} .1074595{col 41}{space 1}   -0.80{col 50}{space 3}0.422{col 58}{space 4}-.2972392{col 71}{space 3} .1244234
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}-.0206243{col 30}{space 2} 2.483469{col 41}{space 1}   -0.01{col 50}{space 3}0.993{col 58}{space 4}-4.893094{col 71}{space 3} 4.851845
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estat ic 

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1202{col 25}-6290.882{col 37}-6191.275{col 48}   13{col 57} 12408.55{col 69} 12474.74
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. 
. 
. *** "FINAL" EQUATION (2.6) ESTIMATES --  REPORT COEFFICIENTS AND STANDARD ERRORS (COEFFICIENTS AND SAMPLE SIZE SHOULD BE IDENTICAL TO "PRELIMINARY ESTIMATES" ABOVE ***
.         
. 
. xtset, clear
{txt}
{com}. 
. *eststo clear
. 
. quietly bootstrap _b, reps(10010) bca seed(123) cluster(agencycode) idcluster(new3agencycode) saving(cfesregboot, replace): regress prgrowth ///
>         eip presparty libagency modagency partymod partylib cfesdhat2 cfesd2party cfesd2modagency cfesd2libagency ///
>         cfesd2partymodag cfesd2partylibag
{err}xxxxxxxxxx{txt}
{com}. 
. estat bootstrap, all

{txt}Linear regression{col 49}Number of obs{col 68}= {res}     1202
{txt}{col 49}Replications{col 68}= {res}    10000

{txt}{ralign 78:(Replications based on {res:32} clusters in agencycode)}
{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 1}{text}    prgrowth{col 14}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}         eip{col 14}{c |}{result}{space 2} .86220025{col 27}{space 2} .0531431{col 38}{space 2} .26861049{col 51}{space 2} .3357334{col 63}{space 1} 1.388667{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} .4571125{col 63}{space 1} 1.483818{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .4230243{col 63}{space 1} 1.428039{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .3588322{col 63}{space 1} 1.351101{col 73}{text} (BCa)
{col 1}{text}   presparty{col 14}{c |}{result}{space 2} 2.9267711{col 27}{space 2} .9561449{col 38}{space 2} 4.3850535{col 51}{space 2}-5.667776{col 63}{space 1} 11.52132{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.658229{col 63}{space 1}  13.5568{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-4.486682{col 63}{space 1} 11.83414{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.874585{col 63}{space 1} 13.04189{col 73}{text} (BCa)
{col 1}{text}   libagency{col 14}{c |}{result}{space 2}-3.8624275{col 27}{space 2} .1580138{col 38}{space 2} 6.2338588{col 51}{space 2}-16.08057{col 63}{space 1} 8.355711{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -16.3809{col 63}{space 1} 8.318809{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.04877{col 63}{space 1}  7.87188{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-16.77266{col 63}{space 1}  8.06204{col 73}{text} (BCa)
{col 1}{text}   modagency{col 14}{c |}{result}{space 2}-2.1976539{col 27}{space 2}-.0530729{col 38}{space 2} 3.6424896{col 51}{space 2}-9.336802{col 63}{space 1} 4.941495{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-9.181515{col 63}{space 1} 5.163543{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.882484{col 63}{space 1} 5.555988{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.570389{col 63}{space 1} 6.152992{col 73}{text} (BCa)
{col 1}{text}    partymod{col 14}{c |}{result}{space 2}-7.1635924{col 27}{space 2}-1.043223{col 38}{space 2} 4.7827183{col 51}{space 2}-16.53755{col 63}{space 1} 2.210363{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -18.6482{col 63}{space 1} .3574932{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-16.45928{col 63}{space 1} 1.507938{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.46484{col 63}{space 1} .9158612{col 73}{text} (BCa)
{col 1}{text}    partylib{col 14}{c |}{result}{space 2}-4.1348519{col 27}{space 2}-2.216414{col 38}{space 2} 8.0727199{col 51}{space 2}-19.95709{col 63}{space 1} 11.68739{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-23.53416{col 63}{space 1} 8.460584{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-18.67616{col 63}{space 1} 12.89812{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-18.44423{col 63}{space 1} 13.48341{col 73}{text} (BCa)
{col 1}{text}   cfesdhat2{col 14}{c |}{result}{space 2}-.01900226{col 27}{space 2} .0083174{col 38}{space 2} .03645707{col 51}{space 2}-.0904568{col 63}{space 1} .0524523{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0710086{col 63}{space 1} .0577339{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1027154{col 63}{space 1} .0314376{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1302327{col 63}{space 1} .0242673{col 73}{text} (BCa)
{col 1}{text} cfesd2party{col 14}{c |}{result}{space 2}  .0840327{col 27}{space 2}-.0456805{col 38}{space 2} .06223241{col 51}{space 2}-.0379406{col 63}{space 1}  .206006{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0996798{col 63}{space 1} .1355442{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0071009{col 63}{space 1} .2285021{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0236111{col 63}{space 1} .2377423{col 73}{text} (BCa)
{col 1}{text}cfesd2moda~y{col 14}{c |}{result}{space 2}-.00307436{col 27}{space 2}-.0082873{col 38}{space 2} .06160113{col 51}{space 2}-.1238104{col 63}{space 1} .1176616{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1483537{col 63}{space 1} .1000045{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1321135{col 63}{space 1} .1097687{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1282236{col 63}{space 1} .1137896{col 73}{text} (BCa)
{col 1}{text}cfesd2liba~y{col 14}{c |}{result}{space 2} .10684639{col 27}{space 2}-.0200135{col 38}{space 2} .04856069{col 51}{space 2} .0116692{col 63}{space 1} .2020236{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0253893{col 63}{space 1} .1634277{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0288787{col 63}{space 1} .2083552{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0361531{col 63}{space 1} .2259943{col 73}{text} (BCa)
{col 1}{text}cfesd2pa~dag{col 14}{c |}{result}{space 2}-.05014352{col 27}{space 2}  .045333{col 38}{space 2} .07742664{col 51}{space 2}-.2018969{col 63}{space 1} .1016099{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1295249{col 63}{space 1} .1677646{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1994618{col 63}{space 1} .0732703{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2407113{col 63}{space 1}  .059933{col 73}{text} (BCa)
{col 1}{text}cfesd2pa~bag{col 14}{c |}{result}{space 2}-.08640788{col 27}{space 2}  .071408{col 38}{space 2} .09003109{col 51}{space 2}-.2628656{col 63}{space 1} .0900498{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -.153175{col 63}{space 1} .1957764{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2661672{col 63}{space 1} .0144796{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2830262{col 63}{space 1} .0043487{col 73}{text} (BCa)
{col 1}{text}       _cons{col 14}{c |}{result}{space 2}-.02062434{col 27}{space 2}-.2423199{col 38}{space 2} 2.9705679{col 51}{space 2} -5.84283{col 63}{space 1} 5.801582{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.813817{col 63}{space 1} 4.949632{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.725212{col 63}{space 1} 5.008304{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-7.719506{col 63}{space 1} 4.554821{col 73}{text} (BCa)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(N){col 8}normal confidence interval
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval
{col 0}(BCa){col 8}bias-corrected and accelerated confidence interval
{p 0 6 0 79}Note: one or more parameters could not be estimated in 10 bootstrap replicates; standard-error estimates include only complete replications.{p_end}

{com}. 
. predict execreqgp, xb
{txt}(396 missing values generated)

{com}. 
. quietly bootstrap _b h1=(_b[_cons]) ///
>         h2=(_b[_cons] +_b[modagency]) ///
>         h3=(_b[_cons] +_b[libagency]) /// 
>         h4=(_b[libagency] - _b[modagency]) /// 
>         h5=(_b[_cons] + _b[presparty]) ///
>         h6=(_b[_cons] + _b[presparty] + _b[modagency] + _b[partymod]) /// 
>         h7=(_b[_cons] + _b[presparty] + _b[libagency] + _b[partylib]) ///
>         h8=(_b[libagency] + _b[partylib] - _b[modagency] - _b[partymod]) /// 
>         h9=(_b[cfesdhat2]) /// 
>         h10=(_b[cfesdhat2] + _b[cfesd2modagency]) ///
>         h11=(_b[cfesdhat2] + _b[cfesd2libagency]) ///
>         h12=(_b[cfesd2modagency] - _b[cfesd2libagency]) /// 
>         h13=(_b[cfesdhat2] + _b[cfesd2party]) ///
>         h14=(_b[cfesdhat2] + _b[cfesd2party] + _b[cfesd2modagency] + _b[cfesd2partymodag]) ///
>         h15=(_b[cfesdhat2] + _b[cfesd2party] + _b[cfesd2libagency] + _b[cfesd2partylibag])  ///
>         h16=(_b[cfesd2libagency] + _b[cfesd2partylibag] -  _b[cfesd2modagency] - _b[cfesd2partymodag]) h17=(_b[presparty]) ///
>         h18=(_b[presparty] + _b[partymod]) ///
>         h19=(_b[presparty] + _b[partylib]) /// 
>         h20=(_b[cfesd2party]) /// 
>         h21=(_b[cfesdhat2] + _b[cfesd2partymodag]) /// 
>         h22=(_b[cfesdhat2] + _b[cfesd2partylibag]), ///
>         cluster(agencycode) idcluster(new4agencycode) ///
>           reps(10010) bca seed(123): regress prgrowth eip presparty libagency modagency partymod partylib /// 
>       cfesdhat2 cfesd2party cfesd2modagency cfesd2libagency cfesd2partymodag cfesd2partylibag
{err}xxxxxxxxxx{txt}
{com}. 
. estat bootstrap, all

{txt}Linear regression{col 49}Number of obs{col 68}= {res}     1202
{txt}{col 49}Replications{col 68}= {res}    10000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}regress prgrowth eip presparty libagency modagency partymod partylib cfesdhat2 cfesd2party cfesd2modagency cfesd2libagency cfesd2partymodag cfesd2partylibag{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h1:}{res:_b[_cons]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h2:}{res:_b[_cons] +_b[modagency]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h3:}{res:_b[_cons] +_b[libagency]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h4:}{res:_b[libagency] - _b[modagency]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h5:}{res:_b[_cons] + _b[presparty]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h6:}{res:_b[_cons] + _b[presparty] + _b[modagency] + _b[partymod]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h7:}{res:_b[_cons] + _b[presparty] + _b[libagency] + _b[partylib]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h8:}{res:_b[libagency] + _b[partylib] - _b[modagency] - _b[partymod]}{p_end}
{p2colset 6 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h9:}{res:_b[cfesdhat2]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h10:}{res:_b[cfesdhat2] + _b[cfesd2modagency]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h11:}{res:_b[cfesdhat2] + _b[cfesd2libagency]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h12:}{res:_b[cfesd2modagency] - _b[cfesd2libagency]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h13:}{res:_b[cfesdhat2] + _b[cfesd2party]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h14:}{res:_b[cfesdhat2] + _b[cfesd2party] + _b[cfesd2modagency] + _b[cfesd2partymodag]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h15:}{res:_b[cfesdhat2] + _b[cfesd2party] + _b[cfesd2libagency] + _b[cfesd2partylibag]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h16:}{res:_b[cfesd2libagency] + _b[cfesd2partylibag] - _b[cfesd2modagency] - _b[cfesd2partymodag]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h17:}{res:_b[presparty]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h18:}{res:_b[presparty] + _b[partymod]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h19:}{res:_b[presparty] + _b[partylib]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h20:}{res:_b[cfesd2party]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h21:}{res:_b[cfesdhat2] + _b[cfesd2partymodag]}{p_end}
{p2colset 5 17 21 2}{...}
{p2col :{txt}[{res:_eq2}]h22:}{res:_b[cfesdhat2] + _b[cfesd2partylibag]}{p_end}

{ralign 78:(Replications based on {res:32} clusters in agencycode)}
{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{result}_eq1        {col 14}{text}{c |}
{col 1}{text}         eip{col 14}{c |}{result}{space 2} .86220025{col 27}{space 2} .0531431{col 38}{space 2} .26861049{col 51}{space 2} .3357334{col 63}{space 1} 1.388667{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} .4571125{col 63}{space 1} 1.483818{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .4230243{col 63}{space 1} 1.428039{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .3588322{col 63}{space 1} 1.351101{col 73}{text} (BCa)
{col 1}{text}   presparty{col 14}{c |}{result}{space 2} 2.9267711{col 27}{space 2} .9561449{col 38}{space 2} 4.3850535{col 51}{space 2}-5.667776{col 63}{space 1} 11.52132{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.658229{col 63}{space 1}  13.5568{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-4.486682{col 63}{space 1} 11.83414{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.874585{col 63}{space 1} 13.04189{col 73}{text} (BCa)
{col 1}{text}   libagency{col 14}{c |}{result}{space 2}-3.8624275{col 27}{space 2} .1580138{col 38}{space 2} 6.2338588{col 51}{space 2}-16.08057{col 63}{space 1} 8.355711{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -16.3809{col 63}{space 1} 8.318809{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.04877{col 63}{space 1}  7.87188{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-16.77266{col 63}{space 1}  8.06204{col 73}{text} (BCa)
{col 1}{text}   modagency{col 14}{c |}{result}{space 2}-2.1976539{col 27}{space 2}-.0530729{col 38}{space 2} 3.6424896{col 51}{space 2}-9.336802{col 63}{space 1} 4.941495{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-9.181515{col 63}{space 1} 5.163543{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.882484{col 63}{space 1} 5.555988{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.570389{col 63}{space 1} 6.152992{col 73}{text} (BCa)
{col 1}{text}    partymod{col 14}{c |}{result}{space 2}-7.1635924{col 27}{space 2}-1.043223{col 38}{space 2} 4.7827183{col 51}{space 2}-16.53755{col 63}{space 1} 2.210363{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -18.6482{col 63}{space 1} .3574932{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-16.45928{col 63}{space 1} 1.507938{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.46484{col 63}{space 1} .9158612{col 73}{text} (BCa)
{col 1}{text}    partylib{col 14}{c |}{result}{space 2}-4.1348519{col 27}{space 2}-2.216414{col 38}{space 2} 8.0727199{col 51}{space 2}-19.95709{col 63}{space 1} 11.68739{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-23.53416{col 63}{space 1} 8.460584{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-18.67616{col 63}{space 1} 12.89812{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-18.44423{col 63}{space 1} 13.48341{col 73}{text} (BCa)
{col 1}{text}   cfesdhat2{col 14}{c |}{result}{space 2}-.01900226{col 27}{space 2} .0083174{col 38}{space 2} .03645707{col 51}{space 2}-.0904568{col 63}{space 1} .0524523{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0710086{col 63}{space 1} .0577339{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1027154{col 63}{space 1} .0314376{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1302327{col 63}{space 1} .0242673{col 73}{text} (BCa)
{col 1}{text} cfesd2party{col 14}{c |}{result}{space 2}  .0840327{col 27}{space 2}-.0456805{col 38}{space 2} .06223241{col 51}{space 2}-.0379406{col 63}{space 1}  .206006{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0996798{col 63}{space 1} .1355442{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0071009{col 63}{space 1} .2285021{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0236111{col 63}{space 1} .2377423{col 73}{text} (BCa)
{col 1}{text}cfesd2moda~y{col 14}{c |}{result}{space 2}-.00307436{col 27}{space 2}-.0082873{col 38}{space 2} .06160113{col 51}{space 2}-.1238104{col 63}{space 1} .1176616{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1483537{col 63}{space 1} .1000045{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1321135{col 63}{space 1} .1097687{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1282236{col 63}{space 1} .1137896{col 73}{text} (BCa)
{col 1}{text}cfesd2liba~y{col 14}{c |}{result}{space 2} .10684639{col 27}{space 2}-.0200135{col 38}{space 2} .04856069{col 51}{space 2} .0116692{col 63}{space 1} .2020236{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0253893{col 63}{space 1} .1634277{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0288787{col 63}{space 1} .2083552{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0361531{col 63}{space 1} .2259943{col 73}{text} (BCa)
{col 1}{text}cfesd2pa~dag{col 14}{c |}{result}{space 2}-.05014352{col 27}{space 2}  .045333{col 38}{space 2} .07742664{col 51}{space 2}-.2018969{col 63}{space 1} .1016099{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1295249{col 63}{space 1} .1677646{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1994618{col 63}{space 1} .0732703{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2407113{col 63}{space 1}  .059933{col 73}{text} (BCa)
{col 1}{text}cfesd2pa~bag{col 14}{c |}{result}{space 2}-.08640788{col 27}{space 2}  .071408{col 38}{space 2} .09003109{col 51}{space 2}-.2628656{col 63}{space 1} .0900498{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -.153175{col 63}{space 1} .1957764{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2661672{col 63}{space 1} .0144796{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2830262{col 63}{space 1} .0043487{col 73}{text} (BCa)
{col 1}{text}       _cons{col 14}{c |}{result}{space 2}-.02062434{col 27}{space 2}-.2423199{col 38}{space 2} 2.9705679{col 51}{space 2} -5.84283{col 63}{space 1} 5.801582{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.813817{col 63}{space 1} 4.949632{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.725212{col 63}{space 1} 5.008304{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-7.719506{col 63}{space 1} 4.554821{col 73}{text} (BCa)
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{result}_eq2        {col 14}{text}{c |}
{col 1}{text}          h1{col 14}{c |}{result}{space 2}-.02062434{col 27}{space 2}-.2423199{col 38}{space 2} 2.9705679{col 51}{space 2} -5.84283{col 63}{space 1} 5.801582{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.813817{col 63}{space 1} 4.949632{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.725212{col 63}{space 1} 5.008304{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-7.719506{col 63}{space 1} 4.554821{col 73}{text} (BCa)
{col 1}{text}          h2{col 14}{c |}{result}{space 2}-2.2182782{col 27}{space 2}-.2953928{col 38}{space 2} 2.1407509{col 51}{space 2}-6.414073{col 63}{space 1} 1.977516{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-7.121017{col 63}{space 1} 1.365837{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.529355{col 63}{space 1} 1.709835{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-6.786049{col 63}{space 1} 1.593323{col 73}{text} (BCa)
{col 1}{text}          h3{col 14}{c |}{result}{space 2}-3.8830519{col 27}{space 2}-.0843061{col 38}{space 2} 5.7879324{col 51}{space 2}-15.22719{col 63}{space 1} 7.461087{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-16.03111{col 63}{space 1} 6.881149{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-15.93068{col 63}{space 1} 6.980422{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-15.51112{col 63}{space 1} 7.290546{col 73}{text} (BCa)
{col 1}{text}          h4{col 14}{c |}{result}{space 2}-1.6647736{col 27}{space 2} .2110867{col 38}{space 2} 6.0072909{col 51}{space 2}-13.43885{col 63}{space 1}  10.1093{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-13.74587{col 63}{space 1} 9.960546{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-14.35972{col 63}{space 1}  9.43945{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} -14.0999{col 63}{space 1} 9.650487{col 73}{text} (BCa)
{col 1}{text}          h5{col 14}{c |}{result}{space 2} 2.9061467{col 27}{space 2} .7138251{col 38}{space 2} 2.6777664{col 51}{space 2}-2.342179{col 63}{space 1} 8.154473{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.9825168{col 63}{space 1} 9.517282{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-2.205056{col 63}{space 1} 7.942585{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-1.599779{col 63}{space 1} 8.452387{col 73}{text} (BCa)
{col 1}{text}          h6{col 14}{c |}{result}{space 2}-6.4550995{col 27}{space 2}-.3824713{col 38}{space 2} 2.5841395{col 51}{space 2}-11.51992{col 63}{space 1}-1.390279{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-12.21766{col 63}{space 1}-2.314375{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-11.52194{col 63}{space 1}-1.865256{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-12.76652{col 63}{space 1} -2.51986{col 73}{text} (BCa)
{col 1}{text}          h7{col 14}{c |}{result}{space 2}-5.0911327{col 27}{space 2}-1.344576{col 38}{space 2} 4.1960107{col 51}{space 2}-13.31516{col 63}{space 1} 3.132897{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.12028{col 63}{space 1}-.3635127{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-14.71556{col 63}{space 1} .2890682{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-12.73873{col 63}{space 1} 1.708513{col 73}{text} (BCa)
{col 1}{text}          h8{col 14}{c |}{result}{space 2} 1.3639668{col 27}{space 2}-.9621043{col 38}{space 2} 4.8738262{col 51}{space 2}-8.188557{col 63}{space 1} 10.91649{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-11.15227{col 63}{space 1} 8.287358{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-10.02404{col 63}{space 1}  8.91777{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} -8.17085{col 63}{space 1} 10.29645{col 73}{text} (BCa)
{col 1}{text}          h9{col 14}{c |}{result}{space 2}-.01900226{col 27}{space 2} .0083174{col 38}{space 2} .03645707{col 51}{space 2}-.0904568{col 63}{space 1} .0524523{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0710086{col 63}{space 1} .0577339{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1027154{col 63}{space 1} .0314376{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1302327{col 63}{space 1} .0242673{col 73}{text} (BCa)
{col 1}{text}         h10{col 14}{c |}{result}{space 2}-.02207662{col 27}{space 2}   .00003{col 38}{space 2} .05135519{col 51}{space 2}-.1227309{col 63}{space 1} .0785777{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1354369{col 63}{space 1} .0701998{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1493561{col 63}{space 1} .0598174{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.1416247{col 63}{space 1} .0653306{col 73}{text} (BCa)
{col 1}{text}         h11{col 14}{c |}{result}{space 2} .08784413{col 27}{space 2}-.0116961{col 38}{space 2} .03255066{col 51}{space 2}  .024046{col 63}{space 1} .1516422{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0152042{col 63}{space 1} .1155333{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0050161{col 63}{space 1} .1194704{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0189004{col 63}{space 1} .1287293{col 73}{text} (BCa)
{col 1}{text}         h12{col 14}{c |}{result}{space 2}-.10992076{col 27}{space 2} .0117261{col 38}{space 2} .06279672{col 51}{space 2}-.2330001{col 63}{space 1} .0131585{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2255919{col 63}{space 1}  .020736{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2574598{col 63}{space 1} .0006497{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2544806{col 63}{space 1} .0022056{col 73}{text} (BCa)
{col 1}{text}         h13{col 14}{c |}{result}{space 2} .06503044{col 27}{space 2}-.0373631{col 38}{space 2} .05451991{col 51}{space 2}-.0418266{col 63}{space 1} .1718875{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0909525{col 63}{space 1} .0944352{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0355558{col 63}{space 1} .1151132{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0212951{col 63}{space 1} .2073044{col 73}{text} (BCa)
{col 1}{text}         h14{col 14}{c |}{result}{space 2} .01181256{col 27}{space 2}-.0003174{col 38}{space 2} .03217366{col 51}{space 2}-.0512467{col 63}{space 1} .0748718{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0603775{col 63}{space 1} .0634726{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0705396{col 63}{space 1} .0582193{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} -.069071{col 63}{space 1} .0591441{col 73}{text} (BCa)
{col 1}{text}         h15{col 14}{c |}{result}{space 2} .08546895{col 27}{space 2} .0140314{col 38}{space 2} .05758707{col 51}{space 2}-.0273996{col 63}{space 1} .1983375{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} .0407065{col 63}{space 1} .2616753{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0435236{col 63}{space 1} .2799904{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0379365{col 63}{space 1} .2440879{col 73}{text} (BCa)
{col 1}{text}         h16{col 14}{c |}{result}{space 2} .07365639{col 27}{space 2} .0143489{col 38}{space 2} .06270413{col 51}{space 2}-.0492414{col 63}{space 1} .1965542{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} .0000456{col 63}{space 1} .2486396{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0028142{col 63}{space 1} .2355776{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0125196{col 63}{space 1} .2136223{col 73}{text} (BCa)
{col 1}{text}         h17{col 14}{c |}{result}{space 2} 2.9267711{col 27}{space 2} .9561449{col 38}{space 2} 4.3850535{col 51}{space 2}-5.667776{col 63}{space 1} 11.52132{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.658229{col 63}{space 1}  13.5568{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-4.486682{col 63}{space 1} 11.83414{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-3.874585{col 63}{space 1} 13.04189{col 73}{text} (BCa)
{col 1}{text}         h18{col 14}{c |}{result}{space 2}-4.2368213{col 27}{space 2}-.0870785{col 38}{space 2} 1.9149834{col 51}{space 2} -7.99012{col 63}{space 1}-.4835228{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.112211{col 63}{space 1}-.9005603{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-7.985972{col 63}{space 1}-.7855714{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-8.252037{col 63}{space 1} -1.00726{col 73}{text} (BCa)
{col 1}{text}         h19{col 14}{c |}{result}{space 2}-1.2080808{col 27}{space 2} -1.26027{col 38}{space 2} 7.0104202{col 51}{space 2}-14.94825{col 63}{space 1} 12.53209{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-17.70673{col 63}{space 1} 10.66471{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-14.84297{col 63}{space 1} 13.24024{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-13.85092{col 63}{space 1} 14.21415{col 73}{text} (BCa)
{col 1}{text}         h20{col 14}{c |}{result}{space 2}  .0840327{col 27}{space 2}-.0456805{col 38}{space 2} .06223241{col 51}{space 2}-.0379406{col 63}{space 1}  .206006{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.0996798{col 63}{space 1} .1355442{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0071009{col 63}{space 1} .2285021{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2} .0236111{col 63}{space 1} .2377423{col 73}{text} (BCa)
{col 1}{text}         h21{col 14}{c |}{result}{space 2}-.06914577{col 27}{space 2} .0536504{col 38}{space 2} .09736829{col 51}{space 2}-.2599841{col 63}{space 1} .1216926{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2} -.182879{col 63}{space 1} .1947165{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.3250505{col 63}{space 1} .0569864{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.3654124{col 63}{space 1} .0464744{col 73}{text} (BCa)
{col 1}{text}         h22{col 14}{c |}{result}{space 2}-.10541014{col 27}{space 2} .0797254{col 38}{space 2} .10838172{col 51}{space 2}-.3178344{col 63}{space 1} .1070141{col 73}{text}   (N)
{col 14}{text}{c |}{col 51}{result}{space 2}-.2060055{col 63}{space 1} .2186558{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2}-.3790704{col 63}{space 1} .0089496{col 73}{text}  (BC)
{col 14}{text}{c |}{col 51}{result}{space 2}-.3905793{col 63}{space 1} .0003182{col 73}{text} (BCa)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(N){col 8}normal confidence interval
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval
{col 0}(BCa){col 8}bias-corrected and accelerated confidence interval
{p 0 6 0 79}Note: one or more parameters could not be estimated in 10 bootstrap replicates; standard-error estimates include only complete replications.{p_end}

{com}. 
. 
. 
. *capturing the values in local macros to use in calculating the asymmetric loss function
. 
. local h1 = e(exp13)
{txt}
{com}. local h2 = e(exp15) 
{txt}
{com}. local h3 = e(exp16)
{txt}
{com}. local h4 = e(exp17)
{txt}
{com}. local h5 = e(exp18)
{txt}
{com}. local h6 = e(exp19) 
{txt}
{com}. local h7 = e(exp20)
{txt}
{com}. local h8 = e(exp21)
{txt}
{com}. local h9 = e(exp22)
{txt}
{com}. local h10 = e(exp23)
{txt}
{com}. local h11 = e(exp24)
{txt}
{com}. local h12 = e(exp25)
{txt}
{com}. local h13 = e(exp26)
{txt}
{com}. local h14 = e(exp27)
{txt}
{com}. local h15 = e(exp28)
{txt}
{com}. local h16 = e(exp29)
{txt}
{com}. local h17 = e(exp30)
{txt}
{com}. local h18 = e(exp31)
{txt}
{com}. local h19 = e(exp32)
{txt}
{com}. local h20 = e(exp33)
{txt}
{com}. local h21 = e(exp34)
{txt}
{com}. local h22 = e(exp35)
{txt}
{com}. 
. *
. *
. *
. 
. 
. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. ***** CORRELATION BETWEEN (2.1), (2.4), & (2.6) -- EXCESS FUNDING BIAS ESTIMATES, FIRST-STAGE, & SECOND-STAGE GENERALIZED PROPOSAL MODEL PREDICTED VALUES  *****
. 
. correlate predreq1 predvalstage2 execreqgp
{txt}(obs=1204)

             {c |} predreq1 predva~2 execre~p
{hline 13}{c +}{hline 27}
    predreq1 {c |}{res}   1.0000
{txt}predvalsta~2 {c |}{res}   0.3846   1.0000
   {txt}execreqgp {c |}{res}   0.9431   0.4463   1.0000

{txt}
{com}. 
. 
. ***** CORRELATION BETWEEN (2.3) and (2.5) -- FIRST-STAGE & SECOND-STAGE ARCH(1) MODEL PREDICTED VALUES  *****
. 
. correlate cfesdhat1 cfesdhat2
{txt}(obs=1216)

             {c |} cfesdh~1 cfesdh~2
{hline 13}{c +}{hline 18}
   cfesdhat1 {c |}{res}   1.0000
   {txt}cfesdhat2 {c |}{res}   0.6096   1.0000

{txt}
{com}. 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. 
. * APPROPRIATIONS GROWTH MODELS *
. 
. 
. 
. 
. * CREATING IMPLICIT BUDGETARY PREFERENCE (IP) VARIABLE: (GENERALIZED PROPOSAL - EXTERNALLY-INDUCED BUDGETARY PREFERENCE [EIP])
. 
. 
. gen ip=execreqgp-eip
{txt}(396 missing values generated)

{com}. 
. 
. xtset agencycode fiscalyear, yearly
{res}{txt}{col 8}panel variable:  {res}agencycode (strongly balanced)
{txt}{col 9}time variable:  {res}{col 25}fiscalyear, 1960 to 2009
{txt}{col 17}delta:  {res}1 year
{txt}
{com}. 
. 
. 
. 
. 
. * ASSESSING CORRELATIONS AMONG RELEVANT : OBSERVED PROPOSAL (OP), EXTERNALLY-INDUCED BUDGETARY PREFERENCES(EIP), GENERALIZED PROPOSAL (GP = EXTERNALLY-INDUCED BUDGETARY PREFERENCES [EIP] + INTERNALLY-INDUCED BUDGETARY PREFERENCES [IP]), 
. * and IMPLICIT BUDGETARY PREFERENCES (IP = GP - EIP)
. 
. 
. correlate prgrowth eip execreqgp ip appgrowth
{txt}(obs=1195)

             {c |} prgrowth      eip execre~p       ip appgro~h
{hline 13}{c +}{hline 45}
    prgrowth {c |}{res}   1.0000
         {txt}eip {c |}{res}   0.3749   1.0000
   {txt}execreqgp {c |}{res}   0.3956   0.9466   1.0000
          {txt}ip {c |}{res}  -0.0372  -0.4067  -0.0903   1.0000
   {txt}appgrowth {c |}{res}   0.2921  -0.2855  -0.2412   0.1984   1.0000

{txt}
{com}. 
. 
. 
. 
. 
. 
. 
. **************** FULL SPECIFICATION (ADDITIVE EXECUTIVE BUDGET COVARIATES) ******************************
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.1a): INCLUSION OF OBSERVED EXECUTIVE BUDGET PROPOSAL GROWTH & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth prgrowth hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1195
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.3647                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0113                                        {txt}avg = {res}     37.3
{txt}       overall = {res}0.3081                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}20{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.3901                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prgrowth {c |}{col 25}{res}{space 2} .5913798{col 37}{space 2} .0923857{col 48}{space 1}    6.40{col 57}{space 3}0.000{col 65}{space 4} .4103071{col 78}{space 3} .7724524
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2}-.1592862{col 37}{space 2} .3993986{col 48}{space 1}   -0.40{col 57}{space 3}0.690{col 65}{space 4}-.9420931{col 78}{space 3} .6235207
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .0758916{col 37}{space 2}  .385866{col 48}{space 1}    0.20{col 57}{space 3}0.844{col 65}{space 4}-.6803918{col 78}{space 3} .8321749
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 6.862074{col 37}{space 2} 2.327423{col 48}{space 1}    2.95{col 57}{space 3}0.003{col 65}{space 4} 2.300408{col 78}{space 3} 11.42374
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-3.833834{col 37}{space 2} 2.540495{col 48}{space 1}   -1.51{col 57}{space 3}0.131{col 65}{space 4}-8.813112{col 78}{space 3} 1.145445
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} .1290771{col 37}{space 2} .6513632{col 48}{space 1}    0.20{col 57}{space 3}0.843{col 65}{space 4}-1.147571{col 78}{space 3} 1.405726
{txt}{space 17}asciha {c |}{col 25}{res}{space 2} 7.216422{col 37}{space 2} 7.306075{col 48}{space 1}    0.99{col 57}{space 3}0.323{col 65}{space 4}-7.103222{col 78}{space 3} 21.53607
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.6578243{col 37}{space 2} .0715832{col 48}{space 1}   -9.19{col 57}{space 3}0.000{col 65}{space 4}-.7981249{col 78}{space 3}-.5175237
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2} .6745957{col 37}{space 2} 2.391468{col 48}{space 1}    0.28{col 57}{space 3}0.778{col 65}{space 4}-4.012596{col 78}{space 3} 5.361787
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}  .516205{col 37}{space 2} 1.060505{col 48}{space 1}    0.49{col 57}{space 3}0.626{col 65}{space 4}-1.562347{col 78}{space 3} 2.594757
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 5.826434{col 37}{space 2} 3.516758{col 48}{space 1}    1.66{col 57}{space 3}0.098{col 65}{space 4}-1.066286{col 78}{space 3} 12.71915
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} .4764622{col 37}{space 2} 9.076203{col 48}{space 1}    0.05{col 57}{space 3}0.958{col 65}{space 4}-17.31257{col 78}{space 3} 18.26549
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 1.612682{col 37}{space 2} 4.505263{col 48}{space 1}    0.36{col 57}{space 3}0.720{col 65}{space 4}-7.217471{col 78}{space 3} 10.44283
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} .0708679{col 37}{space 2} 4.243076{col 48}{space 1}    0.02{col 57}{space 3}0.987{col 65}{space 4}-8.245409{col 78}{space 3} 8.387145
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 8.287815{col 37}{space 2} 6.410096{col 48}{space 1}    1.29{col 57}{space 3}0.196{col 65}{space 4}-4.275741{col 78}{space 3} 20.85137
{txt}{space 17}carter {c |}{col 25}{res}{space 2}-2.779182{col 37}{space 2} 7.938374{col 48}{space 1}   -0.35{col 57}{space 3}0.726{col 65}{space 4}-18.33811{col 78}{space 3} 12.77974
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} .8917254{col 37}{space 2} 9.954086{col 48}{space 1}    0.09{col 57}{space 3}0.929{col 65}{space 4}-18.61792{col 78}{space 3} 20.40138
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2} .8378302{col 37}{space 2} 8.486896{col 48}{space 1}    0.10{col 57}{space 3}0.921{col 65}{space 4}-15.79618{col 78}{space 3} 17.47184
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-7.549686{col 37}{space 2} 9.534112{col 48}{space 1}   -0.79{col 57}{space 3}0.428{col 65}{space 4} -26.2362{col 78}{space 3} 11.13683
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2}  .757307{col 37}{space 2} 8.090807{col 48}{space 1}    0.09{col 57}{space 3}0.925{col 65}{space 4}-15.10038{col 78}{space 3}   16.615
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-2.531083{col 37}{space 2} 12.45534{col 48}{space 1}   -0.20{col 57}{space 3}0.839{col 65}{space 4}-26.94309{col 78}{space 3} 21.88093
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 15.371649
                {txt}sigma_e {c |} {res} 42.708631
                    {txt}rho {c |} {res} .11468519{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1195{col 25} -6426.61{col 37}-6155.558{col 48}   20{col 57} 12351.12{col 69} 12452.83
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.1b): INCLUSION OF ONLY GENERALIZED PROPOSAL (EXECREQGP) & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth execreqgp hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1647                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0001                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1290                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}20{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.4414                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}execreqgp {c |}{col 25}{res}{space 2} 1.375591{col 37}{space 2} .3500763{col 48}{space 1}    3.93{col 57}{space 3}0.000{col 65}{space 4} .6894545{col 78}{space 3} 2.061728
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2}-.1806398{col 37}{space 2} .4968328{col 48}{space 1}   -0.36{col 57}{space 3}0.716{col 65}{space 4}-1.154414{col 78}{space 3} .7931347
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .0336094{col 37}{space 2}  .372833{col 48}{space 1}    0.09{col 57}{space 3}0.928{col 65}{space 4}-.6971299{col 78}{space 3} .7643486
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 1.002641{col 37}{space 2} 2.795395{col 48}{space 1}    0.36{col 57}{space 3}0.720{col 65}{space 4}-4.476232{col 78}{space 3} 6.481513
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-1.532308{col 37}{space 2} 2.832685{col 48}{space 1}   -0.54{col 57}{space 3}0.589{col 65}{space 4}-7.084268{col 78}{space 3} 4.019652
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} .5763812{col 37}{space 2} .7429093{col 48}{space 1}    0.78{col 57}{space 3}0.438{col 65}{space 4}-.8796943{col 78}{space 3} 2.032457
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-1.200266{col 37}{space 2} 10.52387{col 48}{space 1}   -0.11{col 57}{space 3}0.909{col 65}{space 4}-21.82667{col 78}{space 3} 19.42614
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.8754034{col 37}{space 2} .1721711{col 48}{space 1}   -5.08{col 57}{space 3}0.000{col 65}{space 4}-1.212853{col 78}{space 3}-.5379542
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}-1.623408{col 37}{space 2}  2.35041{col 48}{space 1}   -0.69{col 57}{space 3}0.490{col 65}{space 4}-6.230127{col 78}{space 3} 2.983311
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-2.010122{col 37}{space 2} 1.209187{col 48}{space 1}   -1.66{col 57}{space 3}0.096{col 65}{space 4}-4.380085{col 78}{space 3}  .359841
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 7.425539{col 37}{space 2} 4.436339{col 48}{space 1}    1.67{col 57}{space 3}0.094{col 65}{space 4}-1.269525{col 78}{space 3}  16.1206
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2}   2.6754{col 37}{space 2} 9.478288{col 48}{space 1}    0.28{col 57}{space 3}0.778{col 65}{space 4} -15.9017{col 78}{space 3}  21.2525
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 3.567948{col 37}{space 2} 5.812906{col 48}{space 1}    0.61{col 57}{space 3}0.539{col 65}{space 4}-7.825138{col 78}{space 3} 14.96103
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 4.423532{col 37}{space 2} 4.599843{col 48}{space 1}    0.96{col 57}{space 3}0.336{col 65}{space 4}-4.591994{col 78}{space 3} 13.43906
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 13.84422{col 37}{space 2} 7.397497{col 48}{space 1}    1.87{col 57}{space 3}0.061{col 65}{space 4}-.6546121{col 78}{space 3} 28.34304
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 7.072248{col 37}{space 2} 10.09782{col 48}{space 1}    0.70{col 57}{space 3}0.484{col 65}{space 4}-12.71911{col 78}{space 3}  26.8636
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} 6.734493{col 37}{space 2} 12.57652{col 48}{space 1}    0.54{col 57}{space 3}0.592{col 65}{space 4}-17.91503{col 78}{space 3} 31.38401
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2}  9.71031{col 37}{space 2} 11.45635{col 48}{space 1}    0.85{col 57}{space 3}0.397{col 65}{space 4}-12.74373{col 78}{space 3} 32.16435
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}   .79766{col 37}{space 2} 12.85499{col 48}{space 1}    0.06{col 57}{space 3}0.951{col 65}{space 4}-24.39766{col 78}{space 3} 25.99298
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2}  8.58639{col 37}{space 2} 11.58891{col 48}{space 1}    0.74{col 57}{space 3}0.459{col 65}{space 4}-14.12746{col 78}{space 3} 31.30024
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-2.978828{col 37}{space 2} 15.25537{col 48}{space 1}   -0.20{col 57}{space 3}0.845{col 65}{space 4}-32.87881{col 78}{space 3} 26.92115
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 13.070104
                {txt}sigma_e {c |} {res} 48.949456
                    {txt}rho {c |} {res} .06655076{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6323.851{col 48}   20{col 57}  12687.7{col 69} 12789.44
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.1c):  EXTERNALLY-INDUCED PREFERENCE (EIP) PROPOSAL & INTERNALLY-INDUCED BUDGETARY PREFERENCES (IP), INCLUSION OF "CONTROL" COVARIATES IN EIP MODEL: INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES (KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth eip ip hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush, fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1649                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0001                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1297                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}21{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.4384                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}eip {c |}{col 25}{res}{space 2}    4.789{col 37}{space 2}  6.66931{col 48}{space 1}    0.72{col 57}{space 3}0.473{col 65}{space 4}-8.282608{col 78}{space 3} 17.86061
{txt}{space 21}ip {c |}{col 25}{res}{space 2} 1.365915{col 37}{space 2} .3527935{col 48}{space 1}    3.87{col 57}{space 3}0.000{col 65}{space 4} .6744526{col 78}{space 3} 2.057378
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2} .3925287{col 37}{space 2} 1.352227{col 48}{space 1}    0.29{col 57}{space 3}0.772{col 65}{space 4}-2.257787{col 78}{space 3} 3.042845
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2}-.7480313{col 37}{space 2}   1.7147{col 48}{space 1}   -0.44{col 57}{space 3}0.663{col 65}{space 4}-4.108782{col 78}{space 3} 2.612719
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2}-21.55423{col 37}{space 2} 44.01044{col 48}{space 1}   -0.49{col 57}{space 3}0.624{col 65}{space 4}-107.8131{col 78}{space 3} 64.70466
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2} 10.42267{col 37}{space 2} 23.60542{col 48}{space 1}    0.44{col 57}{space 3}0.659{col 65}{space 4}-35.84309{col 78}{space 3} 56.68843
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} 2.780401{col 37}{space 2} 4.124992{col 48}{space 1}    0.67{col 57}{space 3}0.500{col 65}{space 4}-5.304435{col 78}{space 3} 10.86524
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-28.67592{col 37}{space 2} 53.92439{col 48}{space 1}   -0.53{col 57}{space 3}0.595{col 65}{space 4}-134.3658{col 78}{space 3} 77.01396
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-2.142836{col 37}{space 2} 2.479958{col 48}{space 1}   -0.86{col 57}{space 3}0.388{col 65}{space 4}-7.003464{col 78}{space 3} 2.717791
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2} -2.24114{col 37}{space 2} 3.019786{col 48}{space 1}   -0.74{col 57}{space 3}0.458{col 65}{space 4}-8.159811{col 78}{space 3} 3.677531
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-7.764198{col 37}{space 2} 11.59819{col 48}{space 1}   -0.67{col 57}{space 3}0.503{col 65}{space 4}-30.49623{col 78}{space 3} 14.96784
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 13.77516{col 37}{space 2} 11.67533{col 48}{space 1}    1.18{col 57}{space 3}0.238{col 65}{space 4}-9.108062{col 78}{space 3} 36.65837
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} 18.38427{col 37}{space 2} 31.52284{col 48}{space 1}    0.58{col 57}{space 3}0.560{col 65}{space 4}-43.39936{col 78}{space 3} 80.16789
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 14.39172{col 37}{space 2} 20.22386{col 48}{space 1}    0.71{col 57}{space 3}0.477{col 65}{space 4}-25.24631{col 78}{space 3} 54.02975
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 19.60212{col 37}{space 2} 28.44763{col 48}{space 1}    0.69{col 57}{space 3}0.491{col 65}{space 4}-36.15421{col 78}{space 3} 75.35845
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 11.89382{col 37}{space 2} 7.008352{col 48}{space 1}    1.70{col 57}{space 3}0.090{col 65}{space 4}-1.842296{col 78}{space 3} 25.62994
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 4.783804{col 37}{space 2} 9.698908{col 48}{space 1}    0.49{col 57}{space 3}0.622{col 65}{space 4}-14.22571{col 78}{space 3} 23.79332
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} 3.606084{col 37}{space 2} 11.99829{col 48}{space 1}    0.30{col 57}{space 3}0.764{col 65}{space 4}-19.91012{col 78}{space 3} 27.12229
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2} 8.365087{col 37}{space 2} 10.96803{col 48}{space 1}    0.76{col 57}{space 3}0.446{col 65}{space 4}-13.13186{col 78}{space 3} 29.86204
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-1.259077{col 37}{space 2} 12.81666{col 48}{space 1}   -0.10{col 57}{space 3}0.922{col 65}{space 4}-26.37927{col 78}{space 3} 23.86111
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} 7.567043{col 37}{space 2} 11.34004{col 48}{space 1}    0.67{col 57}{space 3}0.505{col 65}{space 4}-14.65904{col 78}{space 3} 29.79312
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-23.05362{col 37}{space 2}  39.3845{col 48}{space 1}   -0.59{col 57}{space 3}0.558{col 65}{space 4}-100.2458{col 78}{space 3} 54.13857
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 12.992315
                {txt}sigma_e {c |} {res}  48.96503
                    {txt}rho {c |} {res} .06577382{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6323.709{col 48}   21{col 57} 12689.42{col 69} 12796.24
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * ASYMMETRIC PRESIDENTIAL BUDGETARY INFLUENCE, I: MULTIPLICATIVE MODELS INVOLVING UNIFIED/DIVIDED PARTY GOVERNMENT DISTINCTION [= 1 IF ALL BRANCHES CONTROLLED BY A SINGLE PARTY, = 0 IF OTHERWISE] *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. generate prgrowthupg=prgrowth*unifiedpartygovt
{txt}(282 missing values generated)

{com}. 
. generate execreqgpupg=execreqgp*unifiedpartygovt
{txt}(396 missing values generated)

{com}. 
. generate eipupg=eip*unifiedpartygovt
{txt}(312 missing values generated)

{com}. 
. generate ipupg=ip*unifiedpartygovt
{txt}(396 missing values generated)

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.2a): INCLUSION OF OBSERVED EXECUTIVE BUDGET PROPOSAL GROWTH & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth prgrowth prgrowthupg unifiedpartygovt hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1195
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.3697                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0102                                        {txt}avg = {res}     37.3
{txt}       overall = {res}0.3109                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}22{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.3946                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prgrowth {c |}{col 25}{res}{space 2} .5657428{col 37}{space 2} .1118886{col 48}{space 1}    5.06{col 57}{space 3}0.000{col 65}{space 4} .3464451{col 78}{space 3} .7850405
{txt}{space 12}prgrowthupg {c |}{col 25}{res}{space 2} .1121698{col 37}{space 2} .1234353{col 48}{space 1}    0.91{col 57}{space 3}0.363{col 65}{space 4}-.1297589{col 78}{space 3} .3540985
{txt}{space 7}unifiedpartygovt {c |}{col 25}{res}{space 2}-13.29244{col 37}{space 2} 4.409678{col 48}{space 1}   -3.01{col 57}{space 3}0.003{col 65}{space 4}-21.93525{col 78}{space 3}-4.649625
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2}-.1549983{col 37}{space 2}  .388959{col 48}{space 1}   -0.40{col 57}{space 3}0.690{col 65}{space 4}-.9173439{col 78}{space 3} .6073473
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .0308897{col 37}{space 2}  .364877{col 48}{space 1}    0.08{col 57}{space 3}0.933{col 65}{space 4} -.684256{col 78}{space 3} .7460354
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 7.613203{col 37}{space 2} 2.385474{col 48}{space 1}    3.19{col 57}{space 3}0.001{col 65}{space 4} 2.937759{col 78}{space 3} 12.28865
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-3.759512{col 37}{space 2} 2.528613{col 48}{space 1}   -1.49{col 57}{space 3}0.137{col 65}{space 4}-8.715502{col 78}{space 3} 1.196479
{txt}{space 17}asctha {c |}{col 25}{res}{space 2}  .077042{col 37}{space 2} .6322431{col 48}{space 1}    0.12{col 57}{space 3}0.903{col 65}{space 4}-1.162132{col 78}{space 3} 1.316216
{txt}{space 17}asciha {c |}{col 25}{res}{space 2} 8.457977{col 37}{space 2}  7.10442{col 48}{space 1}    1.19{col 57}{space 3}0.234{col 65}{space 4}-5.466429{col 78}{space 3} 22.38238
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.6557268{col 37}{space 2} .0739444{col 48}{space 1}   -8.87{col 57}{space 3}0.000{col 65}{space 4} -.800655{col 78}{space 3}-.5107985
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2} 1.558922{col 37}{space 2} 2.469325{col 48}{space 1}    0.63{col 57}{space 3}0.528{col 65}{space 4}-3.280866{col 78}{space 3}  6.39871
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-.5686592{col 37}{space 2} 1.080509{col 48}{space 1}   -0.53{col 57}{space 3}0.599{col 65}{space 4}-2.686418{col 78}{space 3} 1.549099
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 5.810384{col 37}{space 2} 3.486041{col 48}{space 1}    1.67{col 57}{space 3}0.096{col 65}{space 4}-1.022131{col 78}{space 3}  12.6429
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2}-5.322801{col 37}{space 2} 9.589805{col 48}{space 1}   -0.56{col 57}{space 3}0.579{col 65}{space 4}-24.11847{col 78}{space 3} 13.47287
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 4.177091{col 37}{space 2} 4.542096{col 48}{space 1}    0.92{col 57}{space 3}0.358{col 65}{space 4}-4.725254{col 78}{space 3} 13.07944
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} .5347634{col 37}{space 2} 4.212906{col 48}{space 1}    0.13{col 57}{space 3}0.899{col 65}{space 4} -7.72238{col 78}{space 3} 8.791907
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2}-4.964313{col 37}{space 2} 7.282715{col 48}{space 1}   -0.68{col 57}{space 3}0.495{col 65}{space 4}-19.23817{col 78}{space 3} 9.309545
{txt}{space 17}carter {c |}{col 25}{res}{space 2}-.9545799{col 37}{space 2} 7.794056{col 48}{space 1}   -0.12{col 57}{space 3}0.903{col 65}{space 4}-16.23065{col 78}{space 3} 14.32149
{txt}{space 17}reagan {c |}{col 25}{res}{space 2}-13.97768{col 37}{space 2} 10.94394{col 48}{space 1}   -1.28{col 57}{space 3}0.202{col 65}{space 4} -35.4274{col 78}{space 3} 7.472037
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2}-12.33337{col 37}{space 2} 9.049451{col 48}{space 1}   -1.36{col 57}{space 3}0.173{col 65}{space 4}-30.06996{col 78}{space 3} 5.403231
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-11.92495{col 37}{space 2} 9.721431{col 48}{space 1}   -1.23{col 57}{space 3}0.220{col 65}{space 4}-30.97861{col 78}{space 3} 7.128702
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} .1457007{col 37}{space 2} 7.948695{col 48}{space 1}    0.02{col 57}{space 3}0.985{col 65}{space 4}-15.43346{col 78}{space 3} 15.72486
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 4.690192{col 37}{space 2} 12.13181{col 48}{space 1}    0.39{col 57}{space 3}0.699{col 65}{space 4}-19.08773{col 78}{space 3} 28.46811
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 15.651004
                {txt}sigma_e {c |} {res} 42.576148
                    {txt}rho {c |} {res} .11904361{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1195{col 25} -6426.61{col 37}-6150.799{col 48}   22{col 57}  12345.6{col 69} 12457.49
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test prgrowth + prgrowthupg = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}prgrowth + prgrowthupg = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   73.20
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.2b): INCLUSION OF ONLY GENERALIZED PROPOSAL (EXECREQGP)  & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth execreqgp execreqgpupg unifiedpartygovt hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1961                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0003                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1408                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}22{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.5090                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}execreqgp {c |}{col 25}{res}{space 2} 1.561512{col 37}{space 2} .3622459{col 48}{space 1}    4.31{col 57}{space 3}0.000{col 65}{space 4} .8515225{col 78}{space 3} 2.271501
{txt}{space 11}execreqgpupg {c |}{col 25}{res}{space 2}-1.095107{col 37}{space 2} .4271042{col 48}{space 1}   -2.56{col 57}{space 3}0.010{col 65}{space 4}-1.932216{col 78}{space 3}-.2579986
{txt}{space 7}unifiedpartygovt {c |}{col 25}{res}{space 2}-9.787836{col 37}{space 2} 5.233766{col 48}{space 1}   -1.87{col 57}{space 3}0.061{col 65}{space 4}-20.04583{col 78}{space 3} .4701575
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2}-.5864112{col 37}{space 2} .5764442{col 48}{space 1}   -1.02{col 57}{space 3}0.309{col 65}{space 4}-1.716221{col 78}{space 3} .5433986
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .2898555{col 37}{space 2} .4189672{col 48}{space 1}    0.69{col 57}{space 3}0.489{col 65}{space 4} -.531305{col 78}{space 3} 1.111016
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 2.005853{col 37}{space 2} 2.499282{col 48}{space 1}    0.80{col 57}{space 3}0.422{col 65}{space 4}-2.892649{col 78}{space 3} 6.904355
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-.6553314{col 37}{space 2} 2.142367{col 48}{space 1}   -0.31{col 57}{space 3}0.760{col 65}{space 4}-4.854293{col 78}{space 3}  3.54363
{txt}{space 17}asctha {c |}{col 25}{res}{space 2}  .436126{col 37}{space 2} .7545282{col 48}{space 1}    0.58{col 57}{space 3}0.563{col 65}{space 4}-1.042722{col 78}{space 3} 1.914974
{txt}{space 17}asciha {c |}{col 25}{res}{space 2} 6.135122{col 37}{space 2} 9.977363{col 48}{space 1}    0.61{col 57}{space 3}0.539{col 65}{space 4}-13.42015{col 78}{space 3} 25.69039
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.7924914{col 37}{space 2} .1366067{col 48}{space 1}   -5.80{col 57}{space 3}0.000{col 65}{space 4}-1.060236{col 78}{space 3}-.5247471
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}  -.87554{col 37}{space 2} 2.357988{col 48}{space 1}   -0.37{col 57}{space 3}0.710{col 65}{space 4}-5.497111{col 78}{space 3} 3.746031
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-2.720812{col 37}{space 2}  1.28163{col 48}{space 1}   -2.12{col 57}{space 3}0.034{col 65}{space 4}-5.232761{col 78}{space 3}-.2088634
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2}  8.20708{col 37}{space 2} 4.395739{col 48}{space 1}    1.87{col 57}{space 3}0.062{col 65}{space 4}-.4084109{col 78}{space 3} 16.82257
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2}-2.229428{col 37}{space 2} 9.768671{col 48}{space 1}   -0.23{col 57}{space 3}0.819{col 65}{space 4}-21.37567{col 78}{space 3} 16.91682
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 4.982859{col 37}{space 2} 5.772065{col 48}{space 1}    0.86{col 57}{space 3}0.388{col 65}{space 4} -6.33018{col 78}{space 3}  16.2959
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 4.489237{col 37}{space 2} 4.934815{col 48}{space 1}    0.91{col 57}{space 3}0.363{col 65}{space 4}-5.182823{col 78}{space 3}  14.1613
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2}-4.002893{col 37}{space 2}  10.5344{col 48}{space 1}   -0.38{col 57}{space 3}0.704{col 65}{space 4}-24.64993{col 78}{space 3} 16.64415
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 5.778314{col 37}{space 2} 10.62998{col 48}{space 1}    0.54{col 57}{space 3}0.587{col 65}{space 4}-15.05606{col 78}{space 3} 26.61269
{txt}{space 17}reagan {c |}{col 25}{res}{space 2}-10.07238{col 37}{space 2} 16.00079{col 48}{space 1}   -0.63{col 57}{space 3}0.529{col 65}{space 4}-41.43335{col 78}{space 3} 21.28859
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2}-6.087709{col 37}{space 2} 13.53196{col 48}{space 1}   -0.45{col 57}{space 3}0.653{col 65}{space 4}-32.60987{col 78}{space 3} 20.43445
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-9.544672{col 37}{space 2} 13.20163{col 48}{space 1}   -0.72{col 57}{space 3}0.470{col 65}{space 4}-35.41939{col 78}{space 3} 16.33005
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} 2.619688{col 37}{space 2}  12.0072{col 48}{space 1}    0.22{col 57}{space 3}0.827{col 65}{space 4}  -20.914{col 78}{space 3} 26.15337
{txt}{space 18}_cons {c |}{col 25}{res}{space 2} 7.153508{col 37}{space 2} 14.52713{col 48}{space 1}    0.49{col 57}{space 3}0.622{col 65}{space 4}-21.31915{col 78}{space 3} 35.62617
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 16.169121
                {txt}sigma_e {c |} {res} 48.064573
                    {txt}rho {c |} {res} .10166279{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6300.986{col 48}   22{col 57} 12645.97{col 69} 12757.88
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test execreqgp + execreqgpupg  = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}execreqgp + execreqgpupg = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    2.15
{txt}{col 10}Prob > chi2 =  {res}  0.1425
{txt}
{com}. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.2c): EXTERNALLY-INDUCED PREFERENCE (EIP) PROPOSAL & INTERNALLY-INDUCED BUDGETARY PREFERENCES (IP), INCLUSION OF "CONTROL" COVARIATES IN EIP MODEL: INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES (KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth eip eipupg ip ipupg unifiedpartygovt hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush, fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.1968                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0001                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1440                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}24{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.4961                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}eip {c |}{col 25}{res}{space 2} 6.745171{col 37}{space 2} 6.963663{col 48}{space 1}    0.97{col 57}{space 3}0.333{col 65}{space 4}-6.903357{col 78}{space 3}  20.3937
{txt}{space 17}eipupg {c |}{col 25}{res}{space 2}-1.071773{col 37}{space 2} .4236597{col 48}{space 1}   -2.53{col 57}{space 3}0.011{col 65}{space 4} -1.90213{col 78}{space 3}-.2414149
{txt}{space 21}ip {c |}{col 25}{res}{space 2}  1.44149{col 37}{space 2} .3759749{col 48}{space 1}    3.83{col 57}{space 3}0.000{col 65}{space 4} .7045931{col 78}{space 3} 2.178388
{txt}{space 18}ipupg {c |}{col 25}{res}{space 2}-.7403034{col 37}{space 2} .5075712{col 48}{space 1}   -1.46{col 57}{space 3}0.145{col 65}{space 4}-1.735125{col 78}{space 3} .2545179
{txt}{space 7}unifiedpartygovt {c |}{col 25}{res}{space 2}-10.46494{col 37}{space 2}  5.29183{col 48}{space 1}   -1.98{col 57}{space 3}0.048{col 65}{space 4}-20.83673{col 78}{space 3}-.0931438
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2} .2940727{col 37}{space 2}  1.47383{col 48}{space 1}    0.20{col 57}{space 3}0.842{col 65}{space 4}-2.594581{col 78}{space 3} 3.182726
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2}-.9042134{col 37}{space 2} 1.823233{col 48}{space 1}   -0.50{col 57}{space 3}0.620{col 65}{space 4}-4.477685{col 78}{space 3} 2.669258
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2}-32.20817{col 37}{space 2} 46.03692{col 48}{space 1}   -0.70{col 57}{space 3}0.484{col 65}{space 4}-122.4389{col 78}{space 3} 58.02253
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2} 17.58219{col 37}{space 2} 24.35279{col 48}{space 1}    0.72{col 57}{space 3}0.470{col 65}{space 4} -30.1484{col 78}{space 3} 65.31278
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} 3.800144{col 37}{space 2} 4.389094{col 48}{space 1}    0.87{col 57}{space 3}0.387{col 65}{space 4}-4.802321{col 78}{space 3} 12.40261
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-35.65351{col 37}{space 2} 57.43248{col 48}{space 1}   -0.62{col 57}{space 3}0.535{col 65}{space 4}-148.2191{col 78}{space 3}  76.9121
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-2.718204{col 37}{space 2} 2.601452{col 48}{space 1}   -1.04{col 57}{space 3}0.296{col 65}{space 4}-7.816956{col 78}{space 3} 2.380549
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}-1.682471{col 37}{space 2} 3.024021{col 48}{space 1}   -0.56{col 57}{space 3}0.578{col 65}{space 4}-7.609443{col 78}{space 3} 4.244501
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-11.53208{col 37}{space 2} 12.19102{col 48}{space 1}   -0.95{col 57}{space 3}0.344{col 65}{space 4}-35.42605{col 78}{space 3} 12.36189
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 17.61654{col 37}{space 2} 11.84568{col 48}{space 1}    1.49{col 57}{space 3}0.137{col 65}{space 4}-5.600562{col 78}{space 3} 40.83365
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} 21.42282{col 37}{space 2} 32.80109{col 48}{space 1}    0.65{col 57}{space 3}0.514{col 65}{space 4}-42.86614{col 78}{space 3} 85.71178
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 21.65751{col 37}{space 2} 21.27927{col 48}{space 1}    1.02{col 57}{space 3}0.309{col 65}{space 4}-20.04909{col 78}{space 3} 63.36411
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 27.57528{col 37}{space 2} 29.37842{col 48}{space 1}    0.94{col 57}{space 3}0.348{col 65}{space 4}-30.00536{col 78}{space 3} 85.15592
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2}-7.974746{col 37}{space 2} 9.437766{col 48}{space 1}   -0.84{col 57}{space 3}0.398{col 65}{space 4}-26.47243{col 78}{space 3} 10.52294
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 2.136871{col 37}{space 2} 10.17978{col 48}{space 1}    0.21{col 57}{space 3}0.834{col 65}{space 4}-17.81513{col 78}{space 3} 22.08887
{txt}{space 17}reagan {c |}{col 25}{res}{space 2}-16.14574{col 37}{space 2} 15.25455{col 48}{space 1}   -1.06{col 57}{space 3}0.290{col 65}{space 4}-46.04411{col 78}{space 3} 13.75263
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2}-9.345068{col 37}{space 2} 12.56068{col 48}{space 1}   -0.74{col 57}{space 3}0.457{col 65}{space 4}-33.96354{col 78}{space 3} 15.27341
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-13.05161{col 37}{space 2} 13.08106{col 48}{space 1}   -1.00{col 57}{space 3}0.318{col 65}{space 4}-38.69002{col 78}{space 3} 12.58679
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} 1.003227{col 37}{space 2} 11.60326{col 48}{space 1}    0.09{col 57}{space 3}0.931{col 65}{space 4}-21.73875{col 78}{space 3}  23.7452
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-23.27833{col 37}{space 2} 40.37136{col 48}{space 1}   -0.58{col 57}{space 3}0.564{col 65}{space 4}-102.4047{col 78}{space 3} 55.84807
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 15.710908
                {txt}sigma_e {c |} {res} 48.084618
                    {txt}rho {c |} {res} .09645806{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6300.437{col 48}   24{col 57} 12648.87{col 69} 12770.96
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test ip + ipupg = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ip + ipupg = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    3.52
{txt}{col 10}Prob > chi2 =  {res}  0.0607
{txt}
{com}. 
. test eip + eipupg = 0 

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eip + eipupg = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.64
{txt}{col 10}Prob > chi2 =  {res}  0.4235
{txt}
{com}. 
. *
. 
. test ip = eip

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- eip + ip = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.58
{txt}{col 10}Prob > chi2 =  {res}  0.4450
{txt}
{com}. 
. test ip + ipupg = eip + eipupg

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- eip - eipupg + ip + ipupg = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.49
{txt}{col 10}Prob > chi2 =  {res}  0.4842
{txt}
{com}. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * ASYMMETRIC PRESIDENTIAL BUDGETARY INDFLUENCE, II: MULTIPLICATIVE MODELS INVOLVING PRESIDENTS SEEKS LESS OR EQUAL FUNDING VIS-A-VIS CONGRESS [= 1 if REQUEST <= APPROPRIATIONS; = 0 if REQUEST > APPROPRIATIONS] *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. generate prgrowthasym=prgrowth*asymmetric
{txt}(282 missing values generated)

{com}. 
. generate execreqgpasym=execreqgp*asymmetric
{txt}(396 missing values generated)

{com}. 
. generate eipasym=eip*asymmetric
{txt}(312 missing values generated)

{com}. 
. generate ipasym=ip*asymmetric
{txt}(396 missing values generated)

{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.3a): INCLUSION OF OBSERVED EXECUTIVE BUDGET PROPOSAL GROWTH & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth prgrowth prgrowthasym asymmetric hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1195
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.4394                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0357                                        {txt}avg = {res}     37.3
{txt}       overall = {res}0.3700                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}22{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.4033                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prgrowth {c |}{col 25}{res}{space 2} .6794707{col 37}{space 2} .1346986{col 48}{space 1}    5.04{col 57}{space 3}0.000{col 65}{space 4} .4154662{col 78}{space 3} .9434752
{txt}{space 11}prgrowthasym {c |}{col 25}{res}{space 2}-.0738606{col 37}{space 2} .1259095{col 48}{space 1}   -0.59{col 57}{space 3}0.557{col 65}{space 4}-.3206386{col 78}{space 3} .1729175
{txt}{space 13}asymmetric {c |}{col 25}{res}{space 2} 31.81944{col 37}{space 2} 5.860917{col 48}{space 1}    5.43{col 57}{space 3}0.000{col 65}{space 4} 20.33225{col 78}{space 3} 43.30662
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2} .0471378{col 37}{space 2} .4439969{col 48}{space 1}    0.11{col 57}{space 3}0.915{col 65}{space 4}-.8230801{col 78}{space 3} .9173557
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .0997918{col 37}{space 2} .3771518{col 48}{space 1}    0.26{col 57}{space 3}0.791{col 65}{space 4}-.6394122{col 78}{space 3} .8389958
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2} 5.099445{col 37}{space 2} 2.014802{col 48}{space 1}    2.53{col 57}{space 3}0.011{col 65}{space 4} 1.150505{col 78}{space 3} 9.048385
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2}-2.699563{col 37}{space 2} 1.992206{col 48}{space 1}   -1.36{col 57}{space 3}0.175{col 65}{space 4}-6.604215{col 78}{space 3} 1.205088
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} .2387257{col 37}{space 2} .5831925{col 48}{space 1}    0.41{col 57}{space 3}0.682{col 65}{space 4}-.9043106{col 78}{space 3} 1.381762
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-1.094484{col 37}{space 2} 5.301515{col 48}{space 1}   -0.21{col 57}{space 3}0.836{col 65}{space 4}-11.48526{col 78}{space 3} 9.296294
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.7063002{col 37}{space 2} .0702566{col 48}{space 1}  -10.05{col 57}{space 3}0.000{col 65}{space 4}-.8440006{col 78}{space 3}-.5685997
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}-.8325739{col 37}{space 2} 2.366626{col 48}{space 1}   -0.35{col 57}{space 3}0.725{col 65}{space 4}-5.471076{col 78}{space 3} 3.805928
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-.4664025{col 37}{space 2} 1.132366{col 48}{space 1}   -0.41{col 57}{space 3}0.680{col 65}{space 4}-2.685798{col 78}{space 3} 1.752993
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2}  .350934{col 37}{space 2} 3.237366{col 48}{space 1}    0.11{col 57}{space 3}0.914{col 65}{space 4}-5.994188{col 78}{space 3} 6.696056
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} 1.826924{col 37}{space 2} 8.874744{col 48}{space 1}    0.21{col 57}{space 3}0.837{col 65}{space 4}-15.56726{col 78}{space 3}  19.2211
{txt}{space 20}grh {c |}{col 25}{res}{space 2}  .373124{col 37}{space 2} 4.318569{col 48}{space 1}    0.09{col 57}{space 3}0.931{col 65}{space 4}-8.091116{col 78}{space 3} 8.837364
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2}-.0125563{col 37}{space 2} 4.260493{col 48}{space 1}   -0.00{col 57}{space 3}0.998{col 65}{space 4}-8.362969{col 78}{space 3} 8.337856
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 4.806541{col 37}{space 2} 5.988311{col 48}{space 1}    0.80{col 57}{space 3}0.422{col 65}{space 4}-6.930334{col 78}{space 3} 16.54342
{txt}{space 17}carter {c |}{col 25}{res}{space 2}-3.727131{col 37}{space 2} 7.475368{col 48}{space 1}   -0.50{col 57}{space 3}0.618{col 65}{space 4}-18.37858{col 78}{space 3} 10.92432
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} 2.027244{col 37}{space 2}  9.70285{col 48}{space 1}    0.21{col 57}{space 3}0.835{col 65}{space 4}-16.98999{col 78}{space 3} 21.04448
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2} .7657038{col 37}{space 2} 8.744571{col 48}{space 1}    0.09{col 57}{space 3}0.930{col 65}{space 4}-16.37334{col 78}{space 3} 17.90475
{txt}{space 16}clinton {c |}{col 25}{res}{space 2}-4.609273{col 37}{space 2} 9.209907{col 48}{space 1}   -0.50{col 57}{space 3}0.617{col 65}{space 4}-22.66036{col 78}{space 3} 13.44181
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} -.970852{col 37}{space 2} 8.243581{col 48}{space 1}   -0.12{col 57}{space 3}0.906{col 65}{space 4}-17.12797{col 78}{space 3} 15.18627
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-13.44891{col 37}{space 2} 13.25381{col 48}{space 1}   -1.01{col 57}{space 3}0.310{col 65}{space 4} -39.4259{col 78}{space 3} 12.52807
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 16.712841
                {txt}sigma_e {c |} {res} 40.152343
                    {txt}rho {c |} {res} .14766834{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1195{col 25} -6426.61{col 37}-6080.756{col 48}   22{col 57} 12205.51{col 69}  12317.4
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test prgrowth + prgrowthasym = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}prgrowth + prgrowthasym = 0{p_end}

{txt}{col 12}chi2(  1) ={res}   75.58
{txt}{col 10}Prob > chi2 =  {res}  0.0000
{txt}
{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.3b): INCLUSION OF ONLY GENERALIZED PROPOSAL (EXECREQGP) & "CONTROL" COVARIATES FROM EIP MODEL (INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES: KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth  execreqgp execreqgpasym asymmetric hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush if ip!=., ///
>           fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2187                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0085                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1873                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}22{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.3644                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}execreqgp {c |}{col 25}{res}{space 2} 1.854375{col 37}{space 2} .5885468{col 48}{space 1}    3.15{col 57}{space 3}0.002{col 65}{space 4} .7008443{col 78}{space 3} 3.007906
{txt}{space 10}execreqgpasym {c |}{col 25}{res}{space 2}-.7041523{col 37}{space 2} .6179742{col 48}{space 1}   -1.14{col 57}{space 3}0.255{col 65}{space 4}-1.915359{col 78}{space 3} .5070548
{txt}{space 13}asymmetric {c |}{col 25}{res}{space 2} 24.82755{col 37}{space 2} 5.233079{col 48}{space 1}    4.74{col 57}{space 3}0.000{col 65}{space 4}  14.5709{col 78}{space 3}  35.0842
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2}  -.16651{col 37}{space 2} .6156972{col 48}{space 1}   -0.27{col 57}{space 3}0.787{col 65}{space 4}-1.373254{col 78}{space 3} 1.040234
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2} .0151494{col 37}{space 2} .3811352{col 48}{space 1}    0.04{col 57}{space 3}0.968{col 65}{space 4}-.7318618{col 78}{space 3} .7621606
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2}-.7760712{col 37}{space 2} 2.750096{col 48}{space 1}   -0.28{col 57}{space 3}0.778{col 65}{space 4}-6.166159{col 78}{space 3} 4.614017
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2} .2482436{col 37}{space 2} 2.043563{col 48}{space 1}    0.12{col 57}{space 3}0.903{col 65}{space 4}-3.757066{col 78}{space 3} 4.253553
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} .7088088{col 37}{space 2} .7135134{col 48}{space 1}    0.99{col 57}{space 3}0.321{col 65}{space 4}-.6896518{col 78}{space 3} 2.107269
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-7.260337{col 37}{space 2} 10.08001{col 48}{space 1}   -0.72{col 57}{space 3}0.471{col 65}{space 4} -27.0168{col 78}{space 3} 12.49612
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-.8908883{col 37}{space 2} .1704744{col 48}{space 1}   -5.23{col 57}{space 3}0.000{col 65}{space 4}-1.225012{col 78}{space 3}-.5567646
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}-3.212201{col 37}{space 2} 2.267146{col 48}{space 1}   -1.42{col 57}{space 3}0.157{col 65}{space 4}-7.655726{col 78}{space 3} 1.231323
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-3.045594{col 37}{space 2} 1.156858{col 48}{space 1}   -2.63{col 57}{space 3}0.008{col 65}{space 4}-5.312993{col 78}{space 3}-.7781943
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 2.286038{col 37}{space 2} 3.808796{col 48}{space 1}    0.60{col 57}{space 3}0.548{col 65}{space 4}-5.179065{col 78}{space 3} 9.751142
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} 2.251376{col 37}{space 2} 9.670483{col 48}{space 1}    0.23{col 57}{space 3}0.816{col 65}{space 4}-16.70242{col 78}{space 3} 21.20517
{txt}{space 20}grh {c |}{col 25}{res}{space 2} 2.286285{col 37}{space 2} 5.513385{col 48}{space 1}    0.41{col 57}{space 3}0.678{col 65}{space 4}-8.519751{col 78}{space 3} 13.09232
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 4.857038{col 37}{space 2} 4.627735{col 48}{space 1}    1.05{col 57}{space 3}0.294{col 65}{space 4}-4.213156{col 78}{space 3} 13.92723
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 12.09869{col 37}{space 2} 7.527314{col 48}{space 1}    1.61{col 57}{space 3}0.108{col 65}{space 4} -2.65457{col 78}{space 3} 26.85196
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 7.449332{col 37}{space 2} 10.19283{col 48}{space 1}    0.73{col 57}{space 3}0.465{col 65}{space 4}-12.52824{col 78}{space 3}  27.4269
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} 11.00975{col 37}{space 2} 13.36249{col 48}{space 1}    0.82{col 57}{space 3}0.410{col 65}{space 4}-15.18025{col 78}{space 3} 37.19975
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2} 12.36348{col 37}{space 2} 12.49982{col 48}{space 1}    0.99{col 57}{space 3}0.323{col 65}{space 4}-12.13572{col 78}{space 3} 36.86267
{txt}{space 16}clinton {c |}{col 25}{res}{space 2} 6.821213{col 37}{space 2} 13.44947{col 48}{space 1}    0.51{col 57}{space 3}0.612{col 65}{space 4}-19.53927{col 78}{space 3} 33.18169
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} 10.69266{col 37}{space 2} 12.47251{col 48}{space 1}    0.86{col 57}{space 3}0.391{col 65}{space 4}  -13.753{col 78}{space 3} 35.13832
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-11.70823{col 37}{space 2} 15.78225{col 48}{space 1}   -0.74{col 57}{space 3}0.458{col 65}{space 4}-42.64088{col 78}{space 3} 19.22442
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 11.789985
                {txt}sigma_e {c |} {res} 47.384006
                    {txt}rho {c |} {res} .05830088{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6283.931{col 48}   22{col 57} 12611.86{col 69} 12723.77
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test execreqgp + execreqgpasym = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}execreqgp + execreqgpasym = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    9.65
{txt}{col 10}Prob > chi2 =  {res}  0.0019
{txt}
{com}. 
. 
. 
. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. * MODEL (3.3c): EXTERNALLY-INDUCED PREFERENCE (EIP) PROPOSAL & INTERNALLY-INDUCED BUDGETARY PREFERENCES (IP), INCLUSION OF "CONTROL" COVARIATES IN EIP MODEL: INCLUSION OF ADMINISTRATION SPECIFIC TIME-WISE FIXED EFFECT DUMMIES (KENNEDY-JOHNSON BASELINE CAPTURED IN THE INTERCEPT) *
. ************************************************************************************************************************************************************************************************************************************** 
. 
. xtreg appgrowth eip eipasym ip ipasym asymmetric hdempctai sdempctai congelyr cpartmajchangecorrected asctha asciha lagbudgetgap ueratecong lagfedsurpdefpctgdp vietiraqwardefense budget74amends grh any_supp nixonford carter reagan ghwbush clinton gwbush, fe vce(bootstrap, nodots bca reps(10000) seed(123))
{res}
{txt}Fixed-effects (within) regression               Number of obs      = {res}     1196
{txt}Group variable: {res}agencycode                      {txt}Number of groups   = {res}       32

{txt}R-sq:  within  = {res}0.2217                         {txt}Obs per group: min = {res}       15
{txt}       between = {res}0.0184                                        {txt}avg = {res}     37.4
{txt}       overall = {res}0.1931                                        {txt}max = {res}       45

                                                {txt}Wald chi2({res}24{txt})      = {res}        .
{txt}corr(u_i, Xb)  = {res}-0.3521                        {txt}Prob > chi2        =    {res}     .

{txt}{ralign 89:(Replications based on {res:32} clusters in agencycode)}
{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}   Observed{col 37}   Bootstrap{col 65}         Norm{col 78}al-based
{col 1}              appgrowth{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 20}eip {c |}{col 25}{res}{space 2}  4.44387{col 37}{space 2} 6.499511{col 48}{space 1}    0.68{col 57}{space 3}0.494{col 65}{space 4}-8.294938{col 78}{space 3} 17.18268
{txt}{space 16}eipasym {c |}{col 25}{res}{space 2}-.6845071{col 37}{space 2} .6011016{col 48}{space 1}   -1.14{col 57}{space 3}0.255{col 65}{space 4}-1.862645{col 78}{space 3} .4936303
{txt}{space 21}ip {c |}{col 25}{res}{space 2} 1.413368{col 37}{space 2} .5005832{col 48}{space 1}    2.82{col 57}{space 3}0.005{col 65}{space 4} .4322427{col 78}{space 3} 2.394493
{txt}{space 17}ipasym {c |}{col 25}{res}{space 2}   .28872{col 37}{space 2} .7470278{col 48}{space 1}    0.39{col 57}{space 3}0.699{col 65}{space 4}-1.175428{col 78}{space 3} 1.752868
{txt}{space 13}asymmetric {c |}{col 25}{res}{space 2} 25.51328{col 37}{space 2} 5.339658{col 48}{space 1}    4.78{col 57}{space 3}0.000{col 65}{space 4} 15.04775{col 78}{space 3} 35.97882
{txt}{space 14}hdempctai {c |}{col 25}{res}{space 2} .2934889{col 37}{space 2} 1.324182{col 48}{space 1}    0.22{col 57}{space 3}0.825{col 65}{space 4}-2.301861{col 78}{space 3} 2.888839
{txt}{space 14}sdempctai {c |}{col 25}{res}{space 2}-.5153122{col 37}{space 2} 1.636124{col 48}{space 1}   -0.31{col 57}{space 3}0.753{col 65}{space 4}-3.722056{col 78}{space 3} 2.691431
{txt}{space 15}congelyr {c |}{col 25}{res}{space 2}-17.69944{col 37}{space 2} 42.32802{col 48}{space 1}   -0.42{col 57}{space 3}0.676{col 65}{space 4}-100.6608{col 78}{space 3} 65.26197
{txt}cpartmajchangecorrected {c |}{col 25}{res}{space 2} 9.361507{col 37}{space 2} 22.65888{col 48}{space 1}    0.41{col 57}{space 3}0.679{col 65}{space 4}-35.04908{col 78}{space 3}  53.7721
{txt}{space 17}asctha {c |}{col 25}{res}{space 2} 2.360989{col 37}{space 2} 4.055584{col 48}{space 1}    0.58{col 57}{space 3}0.560{col 65}{space 4} -5.58781{col 78}{space 3} 10.30979
{txt}{space 17}asciha {c |}{col 25}{res}{space 2}-29.28008{col 37}{space 2} 51.99537{col 48}{space 1}   -0.56{col 57}{space 3}0.573{col 65}{space 4}-131.1891{col 78}{space 3} 72.62897
{txt}{space 11}lagbudgetgap {c |}{col 25}{res}{space 2}-1.849069{col 37}{space 2} 2.400032{col 48}{space 1}   -0.77{col 57}{space 3}0.441{col 65}{space 4}-6.553045{col 78}{space 3} 2.854907
{txt}{space 13}ueratecong {c |}{col 25}{res}{space 2}-3.485006{col 37}{space 2}  2.96313{col 48}{space 1}   -1.18{col 57}{space 3}0.240{col 65}{space 4}-9.292634{col 78}{space 3} 2.322621
{txt}{space 4}lagfedsurpdefpctgdp {c |}{col 25}{res}{space 2}-7.198303{col 37}{space 2} 11.11116{col 48}{space 1}   -0.65{col 57}{space 3}0.517{col 65}{space 4}-28.97577{col 78}{space 3} 14.57916
{txt}{space 5}vietiraqwardefense {c |}{col 25}{res}{space 2} 6.958366{col 37}{space 2} 11.13607{col 48}{space 1}    0.62{col 57}{space 3}0.532{col 65}{space 4}-14.86792{col 78}{space 3} 28.78465
{txt}{space 9}budget74amends {c |}{col 25}{res}{space 2} 14.68857{col 37}{space 2} 30.22387{col 48}{space 1}    0.49{col 57}{space 3}0.627{col 65}{space 4}-44.54913{col 78}{space 3} 73.92626
{txt}{space 20}grh {c |}{col 25}{res}{space 2}  11.1269{col 37}{space 2} 20.03153{col 48}{space 1}    0.56{col 57}{space 3}0.579{col 65}{space 4}-28.13418{col 78}{space 3} 50.38798
{txt}{space 15}any_supp {c |}{col 25}{res}{space 2} 15.88336{col 37}{space 2} 27.32105{col 48}{space 1}    0.58{col 57}{space 3}0.561{col 65}{space 4}-37.66491{col 78}{space 3} 69.43164
{txt}{space 14}nixonford {c |}{col 25}{res}{space 2} 10.57023{col 37}{space 2} 7.040049{col 48}{space 1}    1.50{col 57}{space 3}0.133{col 65}{space 4} -3.22801{col 78}{space 3} 24.36848
{txt}{space 17}carter {c |}{col 25}{res}{space 2} 5.269653{col 37}{space 2}  9.49562{col 48}{space 1}    0.55{col 57}{space 3}0.579{col 65}{space 4}-13.34142{col 78}{space 3} 23.88073
{txt}{space 17}reagan {c |}{col 25}{res}{space 2} 6.945551{col 37}{space 2} 12.04064{col 48}{space 1}    0.58{col 57}{space 3}0.564{col 65}{space 4}-16.65366{col 78}{space 3} 30.54476
{txt}{space 16}ghwbush {c |}{col 25}{res}{space 2} 10.32684{col 37}{space 2} 11.40206{col 48}{space 1}    0.91{col 57}{space 3}0.365{col 65}{space 4}-12.02078{col 78}{space 3} 32.67446
{txt}{space 16}clinton {c |}{col 25}{res}{space 2} 4.202303{col 37}{space 2} 12.59857{col 48}{space 1}    0.33{col 57}{space 3}0.739{col 65}{space 4}-20.49045{col 78}{space 3} 28.89505
{txt}{space 17}gwbush {c |}{col 25}{res}{space 2} 9.237424{col 37}{space 2} 11.83578{col 48}{space 1}    0.78{col 57}{space 3}0.435{col 65}{space 4}-13.96028{col 78}{space 3} 32.43513
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-26.50536{col 37}{space 2} 38.77388{col 48}{space 1}   -0.68{col 57}{space 3}0.494{col 65}{space 4}-102.5008{col 78}{space 3} 49.49005
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                sigma_u {c |} {res} 11.404476
                {txt}sigma_e {c |} {res} 47.334746
                    {txt}rho {c |} {res} .05486369{txt}   (fraction of variance due to u_i)
{hline 24}{c BT}{hline 64}

{com}. 
. estat ic

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}    Obs    ll(null)   ll(model)     df          AIC         BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 17} 1196{col 25}-6431.488{col 37}-6281.638{col 48}   24{col 57} 12611.28{col 69} 12733.36
{txt}{hline 13}{c BT}{hline 63}
{p 15 22 2}
Note:  N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}
{p_end}

{com}. 
. *
. test ip + ipasym = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}ip + ipasym = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    9.47
{txt}{col 10}Prob > chi2 =  {res}  0.0021
{txt}
{com}. 
. test eip + eipasym = 0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}eip + eipasym = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.34
{txt}{col 10}Prob > chi2 =  {res}  0.5572
{txt}
{com}. 
. *
. 
. test ip = eip

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- eip + ip = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.21
{txt}{col 10}Prob > chi2 =  {res}  0.6430
{txt}
{com}. 
. test ip + ipasym = eip + eipasym

{p 0 7}{space 1}{text:( 1)}{space 1}{space 1}{res}- eip - eipasym + ip + ipasym = 0{p_end}

{txt}{col 12}chi2(  1) ={res}    0.10
{txt}{col 10}Prob > chi2 =  {res}  0.7464
{txt}
{com}. 
. 
. 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
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. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. ************************************************************************************************************************************************************************************************************************************** 
. 
. 
. 
. 
. 
. 
. save "D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.unrestricted alternative EIP models.POOLED OLS.07-15-2013.allvars.dta", replace
{txt}(note: file D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.unrestricted alternative EIP models.POOLED OLS.07-15-2013.allvars.dta not found)
file D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.unrestricted alternative EIP models.POOLED OLS.07-15-2013.allvars.dta saved

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}D:\Asymmetric Loss Project\New Version (2012)\Data Folder\policy priorities.restricted alternative EIP models.POOLED OLS.07-15-2013.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}15 Jul 2013, 20:55:08
{txt}{.-}
{smcl}
{txt}{sf}{ul off}